• Work on multiple projects involving AI and machine learning integrations • Collaborate with teams to develop AI-driven solutions • Utilize various tools and technologies for automation and integration • Contribute to workflow designs and application development • Maintain and enhance existing systems and applications

Role Description We are hiring an AI Engineer with strong experience in Generative AI, Databricks, and manufacturing analytics to support an AI-powered data analytics platform. - Build AI-powered analytics solutions - Develop intelligent AI agents and workflows - Analyze manufacturing, quality, and complaint data - Create scalable data pipelines and ML solutions - Support root cause analysis and predictive insights Qualifications - Agentic AI / AI Agents - Claude AI / LLMs - Databricks, Spark, SQL, Python - Manufacturing or Quality Analytics - SAP, Salesforce, TrackWise - AI-driven data pipelines and automation Requirements - Medical Devices, Manufacturing, Pharma, Industrial AI, or Quality Systems background preferred Benefits - Nice to Have: Power BI, Speech-to-Text, Text-to-Speech tools

Role Description Pinnipedia is hiring an AI Engineer to turn messy inputs into structured knowledge and reliable answers. - Own the end-to-end pipeline that turns unstructured documents into a validated, queryable knowledge graph. - Accountable for extraction quality, graph integrity, and the data layer that backs the product's read path. Tasks - LLM extraction pipelines: - Document chunking, property and relationship extraction, cross-chunk reconciliation, gap detection. - Built with structured-output LLM agents orchestrated by durable workflows. - Knowledge graph: - Schema design as typed Pydantic models, Cypher access patterns and indexing strategy, graph operations, schema evolution and migration. - Scope ends at the graph boundary: API contracts and query abstractions exposed to consumers belong to the full-stack engineer. - Deterministic rule engines: - Table-driven evaluators for cases where code beats LLM judgment; clear contracts between deterministic and probabilistic components. - Data validation & quality: - Schema enforcement, required-property contracts, audit trails, eval harnesses (expert review, unsupervised checks, synthetic fixtures, LLM-as-judge). - Live data ops: - Backfills, coordinated migrations across relational + graph stores, observability on extraction throughput and quality, incident response. Qualifications - 5+ years shipping data/AI systems to production with real customers. - Strong Python (typed, modern) and SQL. Comfortable with PostgreSQL under load. - Production experience with at least one graph database (Neo4j preferred; Neptune, ArangoDB, TigerGraph acceptable). - Production LLM pipeline experience: structured output, agent orchestration, prompt and version management, evaluation frameworks. - Durable workflow orchestration in production (DBOS, Temporal, Airflow, Prefect, Dagster). - Test-first discipline - integration tests against real datastores (Testcontainers or equivalent). - Fluent English skills. Requirements - Experience with regulated, compliance-driven, or standards-heavy extraction domains (legal, medical, financial, security/audit). - Designed deterministic evaluators alongside LLM components and knows when to reach for which. - Contributions to data contracts, schema governance, or ontology work. - German language skills. Benefits - Remote, full-time with flexible scheduling. - CET (Berlin) timezone availability expected. - Possibility of relocation if successful work relationship is achieved after a period of time. - Competitive salary: 32.000–42.000 € base (premium for exceptional senior profiles). - Small, focused team; direct collaboration with the Product Owner and Full-Stack Engineer. - Modern tooling, real ownership, and a learning budget for role-relevant training. - Impact: help SMEs meet rising security requirements with less friction. Company Description Pinnipedia Technologies GmbH is a Berlin startup building a cloud platform that automates and assists the creation of audit-ready IT-security concepts for German/EU standards (e.g., BSI-Grundschutz, C5). - Our product combines LLMs, a domain knowledge graph, and workflow automation to turn scattered inputs into draft security concepts, checklists, risk/impact matrices, and evidence that stands up in audits. - We are IGP-funded (2025/26) and co-develop with FU Berlin and pilot users from industry and security consulting. - By Aug 2026 we aim to ship a multi-tenant SaaS with hardened cloud setup, CI/CD, quality dashboards and a go-to-market kit. - We work as a small, hands-on team with a modern stack, pragmatic documentation, and a focus on reliable, compliant outcomes for SMEs.

Description Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios. As a Staff AI/ML Engineer within the Onboard Embodied AI organization, you will be a senior individual contributor driving cutting-edge end-to-end machine learning solutions directly impacting autonomous driving performance. Your role is pivotal in designing, architecting, and deploying advanced ML models that translate raw sensor data into actionable driving behaviors, enabling vehicles to robustly navigate diverse real-world scenarios and conditions. You'll lead critical technical initiatives, collaborate closely with cross-functional teams, mentor ML engineers, and significantly shape the future of onboard ML capabilities. The Onboard Embodied AI team is at the forefront of developing groundbreaking onboard ML systems powering fully autonomous vehicles. We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state-of-the-art alignment approaches. Our solutions enable vehicles to understand complex, dynamic driving environments, handle uncertainty gracefully, and adapt seamlessly to changing conditions. Join a collaborative and innovative team redefining autonomy through state-of-the-art machine learning, delivering solutions that move beyond current technological boundaries. Key Responsibilities: - Drive the design, development, and deployment of advanced onboard ML models, delivering end-to-end solutions capable of real-time inference and robust autonomous driving performance. - Lead and architect complex machine learning projects, from conception through validation to onboard implementation, emphasizing scalability, robustness, and safety-critical operation. - Champion innovation in neural network architectures, training methodologies, and inference optimization strategies suited for real-time onboard deployment. - Provide technical mentorship and thought leadership, elevating engineering practices, and fostering ML innovation across teams. - Collaborate closely with multidisciplinary engineering groups, ensuring seamless integration of ML capabilities into autonomous vehicle systems. - Influence technical roadmaps, shaping strategic ML priorities aligned with company objectives and product milestones. Your Skills & Abilities: - Master's or Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field. - 4+ years of experience working with large-scale Foundation Models, including LLMs, VLAs and vision-focused models. - Extensive experience developing and deploying advanced ML systems, particularly in end-to-end real-time onboard applications. - Proven track record as a technical expert in developing robust deep learning models that directly map sensor data to actionable outputs within safety-critical systems. - Deep expertise in state-of-the-art computer vision techniques, neural architectures, representation learning, real-time inference, model optimization, and robustness under uncertainty. - Strong software engineering proficiency, particularly Python and C++, alongside extensive hands-on experience with modern ML frameworks (PyTorch, TensorFlow, JAX). - Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML engineering excellence across the organization. - AV/ADAS experience is a big plus Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. - The salary range for this role is $180,000 to $280,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. - Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View Technical Center in the Bay Area three times per week, at minimum. Relocation: This job may be eligible for relocation benefits. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. #LI-CX1 #GM-AV-1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.