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| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it's a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. 📍 San Jose, CA | Onsite | Full-Time | Visa Support Possible About the Team We are an AI platform engineering group focused on large-scale model training systems and performance acceleration. The team builds distributed training infrastructure and optimization technologies for next-generation generative AI and computer vision models. The work supports high-scale production AI systems and cutting-edge model training pipelines. Role Overview We are seeking an engineer specializing in large model training acceleration and distributed optimization. This role focuses on improving training efficiency, scalability, and performance for large generative and multimodal models across distributed compute environments. Responsibilities • Optimize large model training pipelines for performance and scalability • Design and improve distributed training systems • Implement and tune data, model, and pipeline parallelism strategies • Benchmark and profile training workloads to identify bottlenecks • Improve GPU utilization and training throughput • Collaborate with infrastructure and research teams on large-scale training systems • Build performance tooling and optimization frameworks for training acceleration Required Qualifications • Bachelor’s, Master’s, or PhD in Computer Science, AI, Electrical Engineering, or related field • 3–10 years of experience in deep learning systems or large model training • Strong experience with distributed training optimization • Hands-on experience with parallel training methods: • Data parallelism • Model parallelism • Pipeline parallelism • Strong software engineering skills in Python and C++ • CUDA and GPU performance optimization experience • Experience with deep learning frameworks such as PyTorch • Experience with large model toolchains such as Megatron or DeepSpeed • Familiarity with transformer and diffusion models • Experience with benchmarking and profiling tools Preferred Background • Experience in generative AI or computer vision training systems • Experience building large-scale training infrastructure • Experience with high-performance distributed compute environments Language Mandarin Chinese proficiency preferred Compensation (Estimated Range) Base salary range: $136,800 – $359,720 depending on level and experience Equity and additional benefits may be included Work Authorization Visa sponsorship may be considered under certain conditions |
Job Features
| Job Category | AI Research |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $136,000 - $359,720 |
| Recruiter | nina.li@ocbridge.ai |
| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it's a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. About the Team We are an applied research team focused on Generative AI and Multimodal Understanding. The group works on advanced generative technologies across image, video, and multimodal systems, enabling scalable and practical AI creation tools. Research areas include generative modeling, image and video synthesis, intelligent editing, and virtual human technologies. The team emphasizes translating cutting-edge research into production-ready, efficient model systems. About the Team We are an AI platform engineering team building large-scale end-to-end AI production pipelines covering model training, optimization, deployment, and real-world applications. The team focuses on delivering scalable AI infrastructure and efficiency technologies that support high-volume generative AI and multimodal systems in production environments. Role Overview We are seeking an experienced AI model optimization engineer specializing in large model inference acceleration. This role focuses on optimizing inference performance, scalability, and deployment efficiency for large-scale generative and foundation models across heterogeneous hardware environments. Responsibilities • Design and optimize large model inference pipelines for low-latency and high-throughput production deployments • Apply high-performance optimization techniques across diverse hardware architectures • Benchmark and profile deep learning models to identify performance bottlenecks • Optimize compute, memory, and kernel performance for large model inference • Work on distributed inference and acceleration strategies • Collaborate with infrastructure and production engineering teams to integrate optimized models into production systems Minimum Qualifications • Master’s or PhD in Computer Science, Electrical Engineering, AI, or related field • Strong software engineering skills in Python and C++ • Strong CUDA programming experience • 5+ years of experience in AI model inference optimization or acceleration • Experience with ML compilers and performance optimization techniques • Experience with parallel computing, graph fusion, and kernel optimization • Hands-on experience with inference acceleration frameworks such as TensorRT, Triton, or Cutlass • Solid understanding of transformer and diffusion model architectures • Strong system-level performance debugging skills Language Requirement • Professional working proficiency in Mandarin and English required for cross-regional technical collaboration Preferred Qualifications • Experience optimizing large generative or multimodal models in production • Experience with distributed inference systems • Experience with hardware-aware model optimization • Experience working closely with AI infrastructure or ML systems teams Equal Opportunity Statement We are an equal opportunity employer and consider qualified applicants in accordance with applicable laws. Reasonable accommodations are available during the recruitment process when needed. |
Job Features
| Job Category | AI Research |
| Seniority | Senior IC / Tech Lead |
| Recruiter | nina.li@ocbridge.ai |
San Jose, US-United States
Posted 11 hours ago
| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it's a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. About the Team We are an applied research team focused on Generative AI and Multimodal Understanding. The group works on advanced generative technologies across image, video, and multimodal systems, enabling scalable and practical AI creation tools. Research areas include generative modeling, image and video synthesis, intelligent editing, and virtual human technologies. The team emphasizes translating cutting-edge research into production-ready, efficient model systems. Role Overview We are looking for Research Engineers / Scientists to design and implement efficient large-scale generative models, with a strong focus on model distillation, compression, and acceleration. The role focuses on transferring capabilities from large foundation models into smaller, more efficient models for scalable training, optimization, and deployment. Work areas include distillation frameworks, model acceleration, and hardware-efficient inference. Responsibilities • Develop efficient algorithms and architectures for large-scale generative and multimodal models • Apply techniques such as distillation, quantization, and efficiency optimization for image, video, and multimodal generation models • Improve efficiency of diffusion and autoregressive generative models • Design scalable training and inference approaches for high-performance generative systems • Build and optimize model acceleration and compression pipelines • Collaborate with research and engineering teams to translate efficient model research into production systems Minimum Qualifications • Bachelor’s degree in Computer Science or related field, or equivalent experience • Strong expertise in efficient model design and acceleration methods • Experience identifying computational bottlenecks and optimizing model performance • Hands-on experience training generative AI or large models • Proficiency with frameworks such as PyTorch or JAX • Strong communication and collaboration skills in fast-paced research environments Bilingual in Mandarin is required Preferred Qualifications • PhD in Generative AI, ML Systems, or related field, or equivalent research experience • Research experience in GenAI, MLSys, or large model systems • Experience in one or more of the following areas: • Image or video generation and editing • Model compression and distillation • Quantization and efficient architectures (MoE, sparse or window attention) • Efficient large model design • Reinforcement learning–based model training (RLHF, DPO, GRPO) Compensation Base salary range for this position in major U.S. markets: $208,800 – $616,000 annually. Total compensation may include performance bonuses, equity, and additional incentives depending on experience and level. Benefits Comprehensive benefits may include medical, dental, vision coverage, retirement plans with company match, paid parental leave, disability coverage, life insurance, paid holidays, sick leave, and paid personal time. Benefits vary by employment type and location. |
Job Features
| Job Category | AI Research |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $208,800 - $616,000 |
| Recruiter | nina.li@ocbridge.ai |
San Jose, US-United States
Posted 11 hours ago
| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it's a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. About the Team We are a large-scale infrastructure platform team building mission-critical supply chain systems that support global data center and hardware infrastructure delivery. The team focuses on reliable, scalable, and user-friendly end-to-end supply chain platforms covering planning, procurement, inventory, construction, and logistics operations. Our goal is to build integrated middle-office and platform systems that significantly improve operational efficiency, automation level, and scalability across complex infrastructure programs. Responsibilities • Lead backend development for large-scale supply chain and infrastructure platform systems • Design and implement core modules across order fulfillment and supply chain middle-platform domains • Build systems covering order fulfillment, planning, replenishment, cost management, and product lifecycle • Drive architecture design to ensure scalability, reliability, and extensibility • Deliver complex projects and abstract reusable technical components • Manage engineering task distribution and execution quality • Improve engineering practices and technical standards • Mentor engineers and grow technical leadership within the team Minimum Qualifications • Bachelor’s degree or above in Computer Science or related field • 5+ years backend or microservices development experience • Strong Java ecosystem and backend framework experience • Solid coding standards and design pattern knowledge • Ability to quickly understand business domains and system design needs • Experience leading projects or small technical teams • Strong communication and collaboration skills Bilingual in Mandarin is required Preferred Qualifications • Experience with enterprise supply chain systems such as planning, forecasting, procurement, or production workflows • Experience with OMS, WMS, logistics platforms, or e-commerce fulfillment systems • Experience building middle-platform or internal business systems |
Job Features
| Job Category | Backend |
| Seniority | Senior IC / Tech Lead |
| Recruiter | nina.li@ocbridge.ai |
| About The Company This company enables Robotics Foundation Model companies to access massive high-quality, scalable training data for embodied AI through our end-to-end data solution platform. Our platform integrates proprietary vision-driven AI models for egocentric, embodiment, and human- to-robot data solutions, delivering training-ready datasets at scale. Responsibilities - Design, build, and own end-to-end machine learning systems, from data exploration and model development to evaluation and deployment on large-scale, real-world data. - Apply state-of-the-art ML techniques to new problem domains and optimize models and pipelines for performance, efficiency, and reliability in production environments. - Drive measurable improvements in model performance, system robustness, and product capabilities through applied machine learning. - Collaborate closely with cross-functional teams to translate research ideas and product requirements into scalable ML solutions. - Contribute to technical design, code quality, and best practices, and help shape the long- term direction of the company’s machine learning platform. Minimum Qualifications - Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience. - 3+ years of experience building and shipping machine learning systems. - Strong proficiency in Python and experience with at least one major deep learning framework (e.g., PyTorch, TensorFlow). - Solid understanding of modern deep learning concepts, training workflows, model evaluation, and experience working with real-world, production-oriented ML pipelines. |
Job Features
| Job Category | AI Research |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $100,000 - $300,000 |
| Recruiter | levana.lyu@ocbridge.ai |
| About The Company This company enables Robotics Foundation Model companies to access massive high-quality, scalable training data for embodied AI through our end-to-end data solution platform. Our platform integrates proprietary vision-driven AI models for egocentric, embodiment, and human- to-robot data solutions, delivering training-ready datasets at scale. Responsibilities - Design, build, and own end-to-end machine learning systems, from data exploration and model development to evaluation and deployment on large-scale, real-world data. - Apply state-of-the-art ML techniques to new problem domains and optimize models and pipelines for performance, efficiency, and reliability in production environments. - Drive measurable improvements in model performance, system robustness, and product capabilities through applied machine learning. - Collaborate closely with cross-functional teams to translate research ideas and product requirements into scalable ML solutions. - Contribute to technical design, code quality, and best practices, and help shape the long- term direction of the company’s machine learning platform. Minimum Qualifications - Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience. - 3+ years of experience building and shipping machine learning systems. - Strong proficiency in Python and experience with at least one major deep learning framework (e.g., PyTorch, TensorFlow). - Solid understanding of modern deep learning concepts, training workflows, model evaluation, and experience working with real-world, production-oriented ML pipelines. |
Job Features
| Job Category | AI Research |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $100,000 - $300,000 |
| Recruiter | sunnyh@ocbridge.ai |
| About The Company A global leader in advanced battery technology, specializing in high-performance lithium-ion solutions for electric vehicles and energy storage systems. With a strong focus on innovation, manufacturing scale, and sustainability, the company supports the worldwide transition to clean energy by delivering reliable, cutting-edge power solutions. Responsibilities - Problem Coordination on Production Site: Oversee and coordinate the resolution of quality problems on the production site for new materials and structural parts. - On-Site Quality Interface: Act as the primary on-site interface for addressing material quality problems. Develop and implement plans to handle poor incoming materials, considering factors like manufacturing processes and customer complaints. Work closely with suppliers to complete cause analysis, implement corrective measures, and verify effectiveness on schedule. - Containment Plan Development: Participate in creating and implementing containment plans to manage non-conforming materials and ensure production continuity. - APQP and PPAP Management: Engage in the Advanced Product Quality Planning (APQP) process to identify and manage risks and problems during part development. Participate in the Production Part Approval Process (PPAP) to ensure parts meet all quality and performance requirements before mass production. - Customer Audit Support: Assist relevant departments in preparing for and completing customer audits. Ensure all quality standards and customer requirements are met during audits. - SQE Team Training: Responsible for training the Supplier Quality Engineering (SQE) team on quality standards, procedures, and best practices for structural parts. Ensure the team is well-equipped to manage supplier quality issues and maintain high standards. Minimum Qualifications: - Bachelor’s degree in Quality Management, Engineering, or a related field. - 3+ years of experience in supplier quality control, particularly in the vehicle manufacturing industry. - Familiar with ISO9000, TS16949, and VDA quality systems. - Proficient in using quality analysis and improvement tools such as FMEA (Failure Modes and Effects Analysis), FTA (Fault Tree Analysis), 8D (8 Disciplines Problem Solving), Six Sigma, and SPC (Statistical Process Control). - Strong data analysis and processing abilities. - Proficient in using office software (e.g., Microsoft Office Suite). - Strong problem-solving skills and attention to detail. - Excellent communication and interpersonal skills. - Ability to maintain a full-time work schedule with regular in-person attendance is required for this position. - Ability to interact professionally with individuals of varied backgrounds and skill level. - Work Environment & Physical Requirements |
Job Features
| Job Category | General Operation |
| Seniority | Junior / Mid IC |
| Base Salary | $0 - $130,000 |
| Recruiter | kyle.chau@ocbridge.ai |
| About The Company This company is transforming accounts receivable for B2B companies—making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. Responsibilities - Lead Implementations: Manage onboarding from setup through integration and launch for new customers. - Integrate & Automate: Own integrations with platforms like Netsuite, SAP, Salesforce, and other ERPs; write scripts, build automations, and develop custom solutions as needed. - Collaborate Cross-Functionally: Work with Sales and Customer Success to deliver a seamless technical customer journey. - Drive Process Improvements: Identify and fix inefficiencies in our deployment workflows. - Influence the Product: Provide real-world feedback to the product team to help shape the roadmap. - Support Scale: Build technical documentation and internal tools to make customer deployment faster and easier. - Be in the Field: Travel to client sites to meet customers, deploy solutions, and build relationships. Qualification - Have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementations Engineer, FDE). - Are fluent in Python and skilled with modern integration technologies (APIs, ETL/ELT, enterprise auth). - Take ownership and have a bias toward building and improving. - Have experience working with sales teams in both pre- and post-sales contexts. - Have worked in startups or high-growth environments. - (Nice to Have) Experience with AI/ML-powered automation, fintech integrations, developer tools, cloud platforms, or containerization. |
Job Features
| Job Category | Backend |
| Seniority | Junior / Mid IC |
| Base Salary | $150,000 - $240,000 |
| Recruiter | sunnyh@ocbridge.ai |
| About The Company A global leader in advanced battery technology, specializing in high-performance lithium-ion solutions for electric vehicles and energy storage systems. With a strong focus on innovation, manufacturing scale, and sustainability, the company supports the worldwide transition to clean energy by delivering reliable, cutting-edge power solutions. Essential Functions: - Develop and implement electrical preventive maintenance plans for all process equipment. - Diagnose and troubleshoot issues with PLCs, motors, sensors, wiring, robots, frequency converters, and servos. - Address and resolve problems in computer systems, including both hardware and software components. - Manage and improve visual system issues involving circuits, CCDs, and related software. - Oversee the selection and procurement of necessary spare parts for electrical, computer, and visual systems, ensuring optimum stock levels and cost- efficiency. - Develop and execute an electrical skills enhancement program for technicians. - Conduct training sessions that are up to date with current technology and safety standards. - Diagnose and rectify any safety-related issues, promoting a safe working environment. - Analyze operational data to identify and implement improvements that enhance efficiency and reduce downtime. Minimum Qualifications: - Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Automation, or a related field. - Minimum of 5 years of experience in electrical maintenance within a manufacturing environment. - Strong technical knowledge of PLCs, motors, sensors, and other electrical components. - Proficient in troubleshooting and repairing complex computer and visual systems. - Excellent problem-solving and analytical skills, with the ability to analyze complex technical issues and propose effective solutions. - Strong communication skills and the ability to collaborate effectively with cross- functional teams. - Ability to work independently and as part of a team, with a commitment to delivering high-quality work on schedule. - Ability to maintain a full-time work schedule with regular in-person attendance is required for this position. - Ability to interact professionally with individuals of varied backgrounds and skill level. - Work Environment & Physical Requirements |
Job Features
| Job Category | Mechanical Engineering |
| Seniority | Junior / Mid IC |
| Base Salary | $0 - $130,000 |
| Recruiter | jeremy.lin@ocbridge.ai |
| About The Company A global leader in advanced battery technology, specializing in high-performance lithium-ion solutions for electric vehicles and energy storage systems. With a strong focus on innovation, manufacturing scale, and sustainability, the company supports the worldwide transition to clean energy by delivering reliable, cutting-edge power solutions. Recruitment and Talent Acquisition: Execute effective recruitment strategies in collaboration with the Hiring Managers, HRBP, and plant leadership. Source, interview, and onboard qualified candidates to ensure a seamless and positive experience for candidates throughout the hiring process. New Hire Orientation: - Coordinate and conduct new hire orientation sessions to ensure a smooth onboarding process. - Provide new employees with information on company policies, procedures, benefits, and culture. - Facilitate initial training sessions and introduce new hires to their teams and work environment. Payroll Administration: - Process payroll accurately and on time, ensuring compliance with relevant laws and regulations. - Handle employee inquiries related to payroll and benefits. - Maintain and update payroll systems as needed. Benefits Enrollment and Administration: - Manage employee benefits programs, including health insurance, retirement plans, and other benefits. - Assist employees with benefits enrollment, changes, and inquiries. - Ensure compliance with benefits policies and regulations. - Conduct benefits orientations and provide ongoing support for employee benefits-related issues. Employee Relations: - Serve as a point of contact for employees with HR-related questions or concerns. - Address and resolve employee issues and conflicts in a fair and consistent manner. - Conduct investigations and recommend resolutions for disciplinary actions. - Promote a positive and inclusive work environment. Employee Engagement: - Lead the employee engagement action planning process with senior leadership. - Communicate progress and updates on engagement plans to all stakeholders regularly. - Develop initiatives to boost employee morale and engagement. General HR Operations: - Maintain accurate and up-to-date employee records. - Assist in developing and implementing HR policies and procedures. - Support performance management, including appraisals and improvement plans. - Participate in HR projects to enhance HR services and programs. - Ensure compliance with local labor laws and regulations. Minimum Qualifications: - Bachelor’s degree in Human Resources, Business Administration, or a related field. - Minimum of 3 years of HR experience, preferably in a manufacturing or plant environment. - Proficiency with HRIS and payroll systems. - Strong understanding of employment laws and regulations. - Excellent interpersonal and communication skills. - Strong problem-solving and conflict resolution skills. - Ability to manage sensitive and confidential information with integrity. - HR certification (e.g., SHRM-CP, SHRM-SCP, PHR, SPHR) is a plus. - Ability to maintain a full-time work schedule with regular in-person attendance is required for this position. - Ability to interact professionally with individuals of varied backgrounds and skill level. Physical Requirements: - Ability to move around work sites, which may include walking, standing, and climbing ladders or stairs. - Flexibility to bend, kneel, or crouch, particularly when inspecting installations or troubleshooting. - Capability to lift and carry moderate weights, typically up to 25-50 pounds. - Occasional lifting of heavier items may be required. - Ability to work in various environments, including offices, construction sites, and manufacturing facilities. - Willingness and ability to travel to various job sites, which may require driving or other forms of transportation. |
Job Features
| Job Category | HR Business Partners |
| Seniority | Junior / Mid IC |
| Base Salary | $0 - $92,000 |
| Recruiter | nicole.wang@ocbridge.ai |
| About The Company A global leader in advanced battery technology, specializing in high-performance lithium-ion solutions for electric vehicles and energy storage systems. With a strong focus on innovation, manufacturing scale, and sustainability, the company supports the worldwide transition to clean energy by delivering reliable, cutting-edge power solutions. Responsibilities - Participate in the development and implementation of communications/branding strategies in North America - Preparing press releases and statements, preparing Q&A for interviews and drafting/polishing speeches for executives - Handling local media/KOL relations, implementing cooperation with local media/KOLs, and exploring new communication/branding resources and opportunities - Planning and organizing communication activities for trade fairs, events, exhibitions and conferences - Reviewing and polishing all English materials to be shared externally, including press releases, social media content, executive speeches, etc. - Supporting HQ PR work and coordinating with overseas subsidiaries Requirements: - Education: bachelor's degree and above, majoring in communications, marketing, or journalism - Knowledge: media/communications/marketing; at least three years of working experience as a journalist in top-tier global media outlets; knowledge in automotive/battery industry a plus - Skill: good writing in English; good inter-personal communications skills - Language: native speaker of English, expert in Chinese language and culture - Others: work well with a multi-cultural and diverse workforce, able to work independently and under pressure, mature and resourceful Work Environment & Physical Requirements - Regular, predictable on-site attendance is an essential function of this role. - Ability to move throughout offices, manufacturing facilities, and construction areas, including walking, standing, bending, kneeling, and climbing stairs or ladders. - Ability to lift and carry materials weighing up to 25–50 pounds, with occasional heavier lifting as required. - Ability to work in varied environments, including offices, industrial, and construction settings. - Willingness to travel to other job sites as business needs require. - Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position, in accordance with applicable law. |
Job Features
| Job Category | Public Relations |
| Seniority | Junior / Mid IC |
| Base Salary | $0 - $200,000 |
| Recruiter | nicole.wang@ocbridge.ai |
| About The Company A global leader in advanced battery technology, specializing in high-performance lithium-ion solutions for electric vehicles and energy storage systems. With a strong focus on innovation, manufacturing scale, and sustainability, the company supports the worldwide transition to clean energy by delivering reliable, cutting-edge power solutions. Key Responsibilities - Track, analyze, and summarize relevant federal and state legislative and regulatory developments affecting the battery manufacturing, EV, and energy storage sectors. - Prepare regular updates and risk assessments for internal stakeholders, including the Head of Legal, U.S., and business unit leaders. - Collaborate with government affairs and external advisors to ensure accurate monitoring and understanding of evolving U.S. regulatory priorities (e.g., DOE, EPA, DOT, FERC, CFIUS, USITC, CBP, USTR). - Trade Compliance and Tariff Management Advise on U.S. import/export laws and regulations, including compliance with: - Export Administration Regulations (EAR) - International Traffic in Arms Regulations (ITAR) - Customs regulations administered by U.S. Customs and Border Protection (CBP) - Tariff classification and country-of-origin rules - Monitor and interpret trade remedies and actions such as Section 301 tariffs, AD/CVD duties, and Section 232 measures. - Provide legal support for the preparation and maintenance of product classifications, license applications, voluntary disclosures, and corrective actions as needed. - Support the company’s participation in the U.S. regulatory processes related to tariffs, including exclusion requests and enforcement proceedings. - Compliance Program Development - Assist in developing, implementing, and refining the company’s U.S. compliance policies and procedures in alignment with global compliance standards and U.S. legal requirements. - Conduct internal training and awareness programs on relevant compliance topics, such as anti-corruption, sanctions, supply chain transparency, and trade compliance. - Partner with internal audit and other functions to conduct periodic compliance reviews and investigations. - Monitor and advise on antitrust and competition law issues, including pricing practices, distribution arrangements, joint ventures, and interactions with competitors, to ensure compliance with U.S. federal and state antitrust laws (e.g., Sherman Act, Clayton Act, FTC Act). Provide training and guidance to business units to mitigate antitrust risks. Cross-Functional Legal Support - Serve as a legal advisor to cross-functional teams on compliance-related issues that intersect with commercial agreements, procurement, operations, logistics, and regulatory filings. - Collaborate with external legal counsel and advisors on complex trade or regulatory matters. - Work with global colleagues to harmonize compliance practices and ensure consistent interpretation of global regulatory obligations. Qualifications: - Education and Licensure - Juris Doctor (JD) from an accredited law school. - Active membership in good standing with at least one U.S. state bar (with ability to qualify under Michigan in-house counsel rules). Professional Experience - Minimum 5 years of experience practicing law, including at least 3 years of in-house or law firm experience with a focus on compliance, trade law, or regulatory law. - Prior experience advising manufacturing clients or clients in the energy or automotive sectors is strongly preferred. - Strong working knowledge of U.S. trade laws, customs procedures, and industrial policy instruments (e.g., Inflation Reduction Act, CHIPS Act, Buy American Act). - Experience advising clients on compliance with export control regulations and sanctions laws. Skills and Attributes - Strong analytical, research, and problem-solving skills. - Excellent written and verbal communication skills, including the ability to translate complex legal requirements into clear guidance. - Proactive, detail-oriented, and capable of managing multiple priorities in a fast-paced environment. - Able to work independently and as part of a collaborative, international legal team. - High ethical standards and commitment to compliance integrity. Preferred Qualifications: - Mandarin Chinese language skills (written and/or spoken) are a plus but not required. - Familiarity with legal frameworks related to sustainability disclosures, ESG regulations, or responsible sourcing standards. - Demonstrated experience and successes supporting companies undergoing rapid growth or regulatory transformation. |
Job Features
| Job Category | Compliance |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $0 - $200,000 |
| Recruiter | nicole.wong@ocbridge.ai |
| About The Company A global leader in advanced battery technology, specializing in high-performance lithium-ion solutions for electric vehicles and energy storage systems. With a strong focus on innovation, manufacturing scale, and sustainability, the company supports the worldwide transition to clean energy by delivering reliable, cutting-edge power solutions. Key Responsibilities - Identify key challenges related to fraud management among wholly-owned and controlled subsidiaries within the region of America. - Assist these entities in establishing effective anti-fraud policies, reducing the likelihood of legal or regulatory violations. The goal is to set up a system where corruption is "impermeable" through robust institutional safeguards. - Conduct on-site visits to companies across the America region to deliver targeted or general anti-corruption training. - Promote the concept of ethical conduct to foster a culture where employees are "unwilling to engage in corruption." - Investigate violations or wrongdoings reported by subsidiaries in the region of America under the direction of the headquarter. - Collaborate with local authorities and law enforcement when needed. - Conduct the case-study training based on the facts of the investigated cases to the employees. Preferred Qualifications: - Bachelor’s degree or higher; preference for candidates with backgrounds in law, auditing, or criminal investigation. - Strong expertise in legal, financial, and psychological principles, with in-depth knowledge of U.S. laws and regulations. - Proficiency in identifying fraud risks and critical prevention measures. Strong communication, analytical, and investigative skills. - Excellent abilities of coordination, information gathering and writing. Skilled in using Microsoft Office tools (Word, Excel, PowerPoint) to make promotional materials and reports. - Demonstrated team management capabilities. - Experience of studying or working in the U.S., with a strong understanding of American society and cultural traditions. - Strong ethical standards, integrity, and a commitment to fairness, discipline, and confidentiality. - Willingness to comply with company decisions regarding location changes. Minimum Qualifications: - Minimum of 5 years of experience in compliance/audit roles. Experience in managing teams is essential. - Preference for candidates with backgrounds in law enforcement, prosecution, compliance departments of state-owned enterprises, listed companies, or multinational corporations. |
Job Features
| Job Category | Fraud Prevention |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $0 - $200,000 |
| Recruiter | kyle.chau@ocbridge.ai |
| About The Company This company is an autonomous driving technology organization dedicated to developing advanced driver-assistance and full-stack self-driving solutions. By integrating cutting-edge perception, planning, and control systems with real-world data, it delivers scalable and safe intelligent driving technologies for production vehicles. With a strong focus on engineering excellence and real-world deployment, the company is accelerating the adoption of autonomous mobility. Key Responsibilities - Implement RLHF algorithms that align our end-to-end driving model with human preferences and safety criteria - Develop reward models that capture nuanced driving behaviors from real-world scenarios - Develop closed-loop RL training systems that can scale to millions of simulation episodes per second - Create sim-to-real transfer strategies that bridge simulation training and real-world performance - Collaborate with cross-functional teams for end-to-end system integration in both simulation and onboard deployment Preferred Qualifications - Publications in top-tier venues (ICML, NeurIPS, ICLR, ICRA, IROS, etc.) - Open-source contributions to RL libraries or autonomous driving projects - Previous experience with LLM fine-tuning using RLHF - Knowledge of safe RL, interpretable AI, or robustness techniques - Familiarity with autonomous vehicle regulations and safety standards For New Graduates We welcome exceptional new graduates with: - Strong academic background in RL/ML with relevant research projects - Experience with simulation environments and distributed computing - Demonstrated ability to implement complex algorithms from scratch - Portfolio of projects showcasing RL applications |
Job Features
| Job Category | AI Engineering |
| Seniority | Junior / Mid IC |
| Base Salary | $180,000 - $280,000 |
| Recruiter | judy.zhu@ocbridge.ai |
| About The Company This company is an AI-driven organization focused on building intelligent solutions that enhance productivity and decision-making. By leveraging advanced machine learning, data analysis, and automation, it develops tools that help businesses streamline workflows, personalize experiences, and unlock insights from complex information. With a strong emphasis on usability and real-world impact, the company bridges cutting-edge AI technology with practical business needs. Key Responsibilities - Architect Multi-Environment Deployments: Design and manage the infrastructure to deploy our decision engine into diverse environments, including our own cloud and private client VPCs. You will solve the complex challenges of managing software lifecycles across isolated and secure instances. - Operationalize the Quant Engine: Transform experimental ML models into resilient production services. You will build the training, inference and retraining pipelines that ensure our models are always fresh and performant. - Build the Event-Driven Backbone: Architect the scheduling and event-driven triggers that power our high-frequency control loops. You will manage the message queues (e.g., Kafka, SQS) and orchestration layers (e.g., Airflow, Dagster) that coordinate data flow between our context, decision and execution engines. - Guardian of Reliability: Unexpected issues inevitably arise. You will own system health, setting up comprehensive observability (monitoring, logging, tracing) and acting as the primary troubleshooter when things break. You will convert every incident into an automated prevention mechanism. - Elevate Developer Experience: You view internal engineers as your customers. You will build the CI/CD pipelines, local development environments and tooling that allow us to ship code faster and with higher confidence. Requirements - A Senior Operator: You have 6-8+ years of experience in ML Platform, Developer Experience or Infrastructure Software Engineering roles. You have seen how systems break at scale and know how to design them to survive. - Platform Mindset: You view internal teams as your customers. You have experience in high-leverage domains like ML Platform or Developer Experience, focusing on building the paved road that maximizes engineering velocity without sacrificing reliability. - Distributed Systems Native: You are comfortable working with complexity at scale. You understand the challenges of data consistency, concurrency and latency in distributed environments. - Architect of Reliability: You prioritize system health and visibility. You build the observability and automation required to run critical workloads in production, ensuring that complex deployments remain stable even as they scale across diverse environments. Bonus Points - MLOps Tooling: Experience with feature stores, model registries and tools like Ray, MLflow or Kubeflow. - Client VPC / On-Prem Experience: Experience deploying software into customer-controlled environments (AWS/GCP/Azure.) - Security First: Experience with SOC2 compliance, IAM policies and securing sensitive financial data. |
Job Features
| Job Category | Fullstack |
| Seniority | Senior IC / Tech Lead |
| Base Salary | $180,000 - $250,000 |
| Recruiter | judy.zhu@ocbridge.ai |
