Explore jobs
Find specific jobs
Explore careers
Explore professions
Best companies
Explore companies
Research Internship jobs at Cisco - 2886 jobs
AI Research Engineer Staff (hybrid, Grand Prairie, Secret)
Lockheed Martin
Grand Prairie, TX jobs
Are you ready to join a team that's pushing the boundaries of Artificial Intelligence and making a real impact in the industry? The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated and experienced individual to support the Applied AI team and specifically the Cognitive Modules portfolio. As a key member of our team, you'll have the opportunity to work on a broad range of projects, from prototypes to deployment, and contribute to the development of innovative solutions that provide discriminating capability to our customers. With a strong focus on software engineering and computer science, this role is perfect for someone who is passionate about Artificial Intelligence and wants to make a real difference in the industry. What You Will Be Doing: • Developing software products that implement Artificial Intelligence to provide cutting-edge solutions to our customers • Engaging in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test • Participating in a range of activities, from proof of concepts and development of prototypes to building demonstrators and transitioning to production • Leveraging current computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database) • Developing code to solve complex problems and field innovative solutions • Assuming technical lead responsibilities and mentor junior engineers What's In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, learn more about Lockheed Martin's comprehensive benefits package here. Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you! Who You Are: You are a highly motivated and experienced individual with a strong background in software engineering and computer science. You have: • A strong foundation in computer science paradigms, including object-oriented programming, data structures and algorithms, concurrency, and I/O (block storage network database) • Experience with software development and deployment • Excellent self-motivation, strong work ethic, time management, and interpersonal skills • The ability to work effectively in a team environment and assume technical lead responsibilities • A passion for Artificial Intelligence and a desire to contribute to the development of innovative solutions that make a real impact in the industry #LMLAIC Basic Qualifications: • Bachelor's Degree in Engineering, Computer Science, or other related discipline • Experience with an interpreted language; python • Experience with a deep learning library; PyTorch or Torch or Keras or Tensorflow or Scikit-Learn (sklearn) or open CV • Experience applying machine learning techniques on projects; Supervised Learning or Unsupervised Learning or Semi-Supervised Learning or Reinforcement Learning • Secret Clearance Desired Skills: • Master's Degree in Engineering, Computer Science, or other related discipline. • Experience with DevOps tools (Docker/Podman, Git, or GitLab CI/CD) • Experience with at least one of the following messaging protocols; Kafka or ActiveMQ or ZeroMQ or DDS • Experience with at least one of the following communication protocols; REST or gRPC • Experience with Test-Driven Development from both unit- and system/acceptance-level perspectives • Experience with software orchestration (e.g. Kubernetes, Helm, Istio/Linkerd) and modern GitOps workflows • Experience developing microservices and microservice architectures • Experience building and deploying software for defense mission systems • Experience with real-time embedded software engineering • Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel one API, SYCL) • Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime) • Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices) • Experience with high-performance computing • Experience interfacing with databases (SQL, MongoDB, etc.) • Experience leading other engineers or small teams • Familiarity with transitioning prototype software to production • Top Secret // SCI Clearance Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: Possible Career Area: Artificial Intelligence Type: Full-Time Shift: First$73k-94k yearly est. 2d agoHead of UX Design & Research - Lead High-Impact B2B UX
Samsung Electronics PerÚ
Mountain View, CA jobs
A leading technology company is seeking a Head of Product Design and UX to lead a dynamic team in Mountain View, CA. The ideal candidate will have over 15 years of experience in design and UX, including managing large teams in B2B advertising. This role offers a competitive salary between $280,000 and $300,000, plus a comprehensive benefits package including health insurance and tuition assistance. #J-18808-Ljbffr$280k-300k yearly 4d agoGlobal Data Partnerships Lead for AI & Research
Google Inc.
Mountain View, CA jobs
A leading technology company is seeking a Business Development Lead to spearhead data partnerships for Google DeepMind, focusing on AI models. The role involves collaborating with C-level executives and managing partnership agreements. Ideal candidates should have a Bachelor's degree and 7 years of relevant experience, alongside strong communication skills. This full-time position offers a salary range of $134,000-$196,000, plus bonuses and benefits. Preferred locations include Mountain View and San Francisco, CA. #J-18808-Ljbffr$134k-196k yearly 3d agoHealth AI Data Steward & R&D Strategy Lead
Phase2 Technology
Washington, DC jobs
A leading technology firm is seeking an experienced Health AI Data Scientist in Washington, DC, to support advanced government-funded research programs in health. You will contribute to strategic data management processes, advise on data governance standards, and engage with technical teams to drive impactful healthcare solutions. The ideal candidate will possess over 10 years of experience in data management, biomedical data, and strong communication skills, with a bachelor's degree. The role is hybrid, requiring on-site presence 20-50% of the time. #J-18808-Ljbffr$98k-143k yearly est. 2d agoML Safety Research Engineer
Apple Inc.
San Francisco, CA jobs
San Francisco, California, United States Machine Learning and AI Apple Services Engineering (ASE) powers many AI features across App Store, Music, Video and more. We build deeply personal products with the goal of representing users around the globe authentically. We work continuously to avoid perpetuating systemic biases and maintain safe and trustworthy experiences across our AI tools and models. Description Our team, part of Apple Services Engineering, is looking for an ML Research Engineer to lead the design and continuous development of automated safety benchmarking methodologies. In this role, you will investigate how media‑related agents behave, develop rigorous evaluation frameworks and techniques, and establish scientific standards for assessing risks they pose and safety performance. This role supports the development of scalable evaluation techniques that ensure our engineers have the right tools to assess candidate models and product features for responsible and safe performance. The capabilities you build will allow for the generation of benchmark datasets and evaluation methodologies for model and application outputs, at scale, to enable engineering teams to translate safety insights into actionable engineering and product improvements. This role blends deep technical expertise with strong analytical judgment to develop tools and capabilities for assessing and improving the behavior of advanced AI/ML models. You will work cross‑functionally with Engineering and Project Managers, Product, and Governance teams to develop a suite of technologies to ensure that AI experiences are reliable, safe, and aligned with human expectations. The successful candidate will take a proactive approach to working independently and collaboratively on a wide range of projects. In this role, you will work alongside a small but impactful team, collaborating with ML and data scientists, software developers, project managers, and other teams at Apple to understand requirements and translate them into scalable, reliable, and efficient evaluation frameworks. Responsibilities Design scientifically‑grounded benchmarking methodologies covering multiple dimensions of responsibility and safety across several media and application marketplace use cases Develop automated evaluation pipelines that collect, automatically judge, and analyze model outputs with respect to safety policies, at scale Create and curate datasets, tasks, and feature usage scenarios that represent realistic and adversarial use cases across multiple languages, markets, and domains Define and validate new metrics for complex phenomena such as multi‑turn agentic interaction patterns Apply statistical rigor and reproducibility to above mentioned objectives Work closely with engineering and research teams to translate experimental findings into actionable model improvements and safety mitigations Publish internal reports and external papers Monitor evolving industry practices and academic work to ensure benchmarks remain relevant Minimum Qualifications Advanced degree (MS or PhD) in Computer Science, Software Engineering, or equivalent research/work experience 1+ years of work experience either as a postdoc or in the industry Strong research background in empirical evaluation, experimental design, or benchmarking Strong proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.) Deep familiarity with software engineering workflows and developer tools Experience working with or evaluating AI/ML models, preferably LLMs or program synthesis systems Strong analytical and communication skills, including the ability to write clear reports Technical Skills: Proficiency in Python (pandas, NumPy, Jupyter, PyTorch, etc.). Experience working with large datasets, annotation tools, and model evaluation pipelines Familiarity with evaluations specific to responsible AI and safety, hallucination detection, and/or model alignment concerns Ability to design taxonomies, categorization schemes, and structured labeling frameworks Analytical Strength: Ability to interpret unstructured data (text, transcripts, user sessions) and derive meaningful insights Communication: Strong ability to stitch together qualitative and quantitative insights into actionable guidance; strong ability to communicate complex architectures and systems to a variety of stakeholders Education in Data Science, Linguistics, Cognitive Science, HCI, Psychology, Social Science, or a related field Preferred Qualifications Publications in AI/ML evaluation or related fields Experience with automated testing frameworks Experience constructing human‑in‑the‑loop or multi‑turn evaluation setups Intermediate or Advanced Proficiency in Swift Familiarity with RAG systems, reinforcement learning, agentic architectures, and model fine‑tuning Expertise in designing annotation guidelines and validation instruments and techniques Background in human factors, social science, and/or safety assessment methodologies At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr$181.1k-272.1k yearly 4d agoMachine Learning Research Engineer, Generative AI
Apple Inc.
Cupertino, CA jobs
Cupertino, California, United States Software and Services Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. Are you interested in applying machine learning and generative AI technologies to create innovative user experiences? Are you looking to bring your expertise to help build intelligent features that are reaching hundreds of millions of users across Apple platforms? We are an applied machine learning team located in Cupertino, California, part of the Input Experience group that is responsible for building machine learning technologies that enable magical user experiences like Math Notes, Smart Script, and Scribble. We are seeking an outstanding Machine Learning Engineer to help build our next generation of products. Description As a member of the team you will be responsible for bringing innovative ideas and applying modern machine learning methods to solve problems that matter. From ideation to productization, you will participate in the full development cycle of core technologies, including handwriting and text recognition, handwriting synthesis, document understanding, freeform drawing recognition and generation. The ideal candidate should have experience in computer vision, speech recognition, deep learning, and/or other applications of machine learning systems. Minimum Qualifications PhD or MSc in Computer Science, Computer Engineering or a closely related field. Industry experience in building product features based on ML including generative models or multimodal LLMs Experience with image processing, computer vision, speech recognition, or natural language processing Proven track record of programming, debugging, and design skill Preferred Qualifications Detailed knowledge of one or more of the following programming languages: C++, C, Objective-C, or Swift Experience with common ML toolchain such as PyTorch, TensorFlow, or JAX Proficiency with Unix, iOS, or mac OS development Excellent problem solving, critical thinking, and interpersonal skills Ability to produce creative and innovative solutions to challenging problems Enthusiastic about building end-to-end experiences using machine learning High-quality communication skills and ability to work through ambiguity At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. #J-18808-Ljbffr$147.4k-272.1k yearly 2d agoMachine Learning Research Engineer, Siri Core Modeling
Apple Inc.
Cupertino, CA jobs
Cupertino, California, United States Machine Learning and AI The Siri team is creating groundbreaking technology for large scale systems, spoken language, machine learning, and LLMs to enable better conversational experience with Siri. The features we create are redefining how hundreds of millions of people use their computers and mobile devices to fulfill their requirements and find what they are looking for. As part of the Siri team, you will work with the talent dense team who crafted the intelligent assistant that helps users get things done - just by asking. Description As a machine learning engineer at Siri, you will be responsible for doing development and research in the deep learning field and building the most advanced natural language and conversation understanding systems. You should be passionate about working with software and platform engineers to integrate the models on-device and improve natural language understanding ability of Siri. Excellent interpersonal skills will be required to coordinate work across multiple teams to ship the state-of-the-art technology to production and impact all Siri users. Responsibilities As a member of this team, the successful candidate will: Develop novel ML/DL models including LLMs for natural language understanding and generation, especially under computation and resource limitations. Work with software and platform engineers to ship LLMs in production. Diagnose model errors and perform accuracy hill climbing for AI assistants. Context engineering for LLMs Minimum Qualifications Solid understanding of state-of-the-art technology in machine learning, deep learning (including LLMs) and natural language understanding. Excellent problem-solving (e.g. via building forward-looking prototype systems), critical thinking, strong communication, and collaboration skills Ph.D. or M.S. degree in related fields Preferred Qualifications 3-5+ years proven programming skills using standard ML tools such as C/C++, Python, PyTorch, Tensorflow, Hugging Face, etc. Hands-on experience working (training, fine-tuning, optimizing, deploying) with large models (e.g. LLMs). Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency Publication at top ML/DL/NLP conferences such as NeurIPS, ACL, EMNLP, etc. is a plus. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant. Apple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr$147.4k-272.1k yearly 4d agoResearch Analyst
OSI Engineering
Cupertino, CA jobs
A globally leading consumer device company headquartered in Cupertino, CA is looking for Employee Listening Research Analyst to join their People Analytics Research team which helps senior leaders understand the employee experience, and connect that understanding to meaningful action. This close-knit, highly productive team is looking for research management support for their upcoming employee engagement surveys. The ideal candidate will have deep experience with employee surveys in medium-to-large sized organizations, and be comfortable working in a fast-paced, hands-on environment. This individual should have strong analytical, survey operations, and project management skills to handle a variety of survey program activities. Job Responsibilities: • Work with our team to deliver company's employee engagement surveys, and generate insights that directly influence the employee experience. • Support survey operations, including managing survey invitations and reporting access, as well as quality control and testing of online survey and reporting portal. • Provide user help to People Business Partners, employees, and other teams through various support channels (e.g., Slack, email, case management). • Partner with Senior Research Managers to analyze survey results (both scaled items and open text) to identify insights related to employee sentiment. • Contribute to the development of new survey methodologies and research initiatives. • Create reporting materials using Keynote, Pages, and other tools to share with leaders, partners, and key stakeholders. • Review reports to ensure data accuracy and quality. Candidate Requirements: • Degree in organizational psychology/social sciences; statistics/economics; or business administration OR equivalent experience • 3-5+ years relevant experience with employee surveys or HR analytics, ideally with a focus on employee engagement. • Experience supporting employee surveys end-to-end - working with cross-functional teams and vendors to manage survey fielding, as well as analyzing results (e.g., descriptive and inferential statistics, correlation, qualitative analysis) to identify key trends and actionable insights, and creating reports to a wide audience of leaders and key stakeholders. • Excellent organizational skills, acute attention to detail, and ability to balance multiple tasks. • Strong data visualization skills (creating charts, tables, and slides). • Excellent interpersonal skills and ability to work effectively across teams. • Understanding of data privacy principles in survey research. • Proficiency with analytics and visualization platforms (e.g., R, SPSS, Tableau, or similar) • Experience with survey platforms (Medallia preferred) • Experience with project management tools (Wrike preferred) • Experience with PowerPoint or Keynote (preferred), Excel, and collaboration tools (e.g., Box, Quip) Type: Contract Duration: 12 months with extension Work Location: Cupertino, CA Pay Range: $42.00 - $57.00 (Cupertino)$42-57 hourly 14h agoMT Research Engineer: Advanced NLP & Translation
Apple Inc.
Cupertino, CA jobs
A leading technology company is looking for a Machine Learning Research Engineer in Cupertino. The role involves developing advanced Machine Translation technology and requires 3+ years of experience in machine learning and NLP. Candidates should be skilled in tools like JAX, PyTorch, and Tensorflow. This position offers a competitive salary ranging from $147,400 to $220,900, alongside various benefits, including stock options and educational reimbursement. #J-18808-Ljbffr$147.4k-220.9k yearly 2d agoResearch Engineer - ML / Systems
Epsilon
San Francisco, CA jobs
About Us We're tackling one of healthcare's most critical challenges in medical imaging and diagnostics. Our company operates at the intersection of cutting‑edge AI and clinical practice, building technology that directly impacts patient outcomes. We've assembled one of the industry's most comprehensive and diverse medical imaging datasets and have a proven product‑market fit with a substantial customer pipeline already in place. Role Overview We're seeking a Research Engineer to bridge the gap between research and production, building ML infrastructure and data systems for medical imaging at scale. You'll own critical data pipelines that unify live production traffic with offline datasets, design storage solutions for multimodal medical data, and build training + inference infrastructure that enables our research team to iterate rapidly. This role requires someone who can move fluidly between model training, data engineering, ML systems, and production deployment. Key Responsibilities Build and optimize distributed ML infrastructure for training foundation models on large‑scale medical imaging datasets. Design and implement robust data pipelines to collect, process, and store large‑scale multimodal medical imaging data from both production traffic and offline sources. Build centralized data storage solutions with standardized formats (e.g., protobufs) that enable efficient retrieval and training across the organization. Create model inference pipelines and evaluation frameworks that work seamlessly across research experimentation and production deployment. Collaborate with researchers to rapidly prototype new ideas and translate them into production‑ready code. Own end‑to‑end delivery of ML systems from experimentation through deployment and monitoring. Qualifications 3+ years building ML infrastructure, data pipelines, or ML systems in production. Strong Python skills and expertise in PyTorch or JAX. Hands‑on experience with data pipeline technologies (e.g., Spark, Airflow, BigQuery, Snowflake, Databricks, Chalk) and schema design. Experience with distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes). Track record of building scalable data systems and shipping production ML infrastructure. Ability to move quickly and handle competing priorities in a fast‑paced environment. Preferred Qualifications Experience with medical imaging formats (DICOM) and healthcare data standards. Background in distributed training frameworks (PyTorch Lightning, DeepSpeed, Accelerate). Familiarity with MLOps practices and model deployment pipelines. Experience with privacy‑preserving data systems and HIPAA compliance. Contributions to open‑source ML or data infrastructure projects. #J-18808-Ljbffr$124k-168k yearly est. 1d agoResearch Associate - Upstream Cell Culture
Spectraforce
Framingham, MA jobs
Research Associate I Assignment Duration: 12 Months Work Arrangement: Onsite Work Schedule M-F 9 AM-5 PM EST (May require weekend work) HM Notes: Possibility of extension • Local candidates ONLY • References will be requested for finalists • ***Weekend works is required and is occasionally. This is a rotating, schedule 1-4 hours on 1 weekend day and will include a Saturday or Sunday. This will be included in 40 work week and no to exceed 40 hours. Weekend work is pre-planned through end of year; new hire can swap with colleagues if available. • Team of 13 members • No chemicals • No extreme heat or cold • Cell culture media preparation • Ability to lift 10 kg • Free parking onsite • Over 3 years of experience and PHD's considered overqualified • No full gowning requirement • PPE will be provided Must Have Skills: • Bachelor's or master's degree in chemical engineering Biochemical Engineering, Cell Biology, Biochemistry or a related discipline • Experience can include co-op or internships, 6+ months of experience. • Understanding of aseptic technique and principles of mammalian cell culture • Lab operations experience • Understanding of aseptic technique and principles of mammalian cell culture • Some lab mammalian cell culture experience, however, microbial experience is not a match • MS Office, Word, Excel • Quick learner for new techniques and technology • Strong attention to details Preferred Qualifications • Up to 3 years of professional experience, or including internships • Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors • Knowledge of CMC • Cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) • Strong GPA is a plus Description: We are seeking a contract upstream Research Associate to join our Cell Culture Platform group in Cell Culture Development department (CCD-CCP). CCD-CCP is a global business unit responsible for the development of cell culture platforms including media and bioprocess technologies for both fed-batch and perfusion from early and late-stage biologics projects, as well as all upstream CMC development activities for early phase projects (up to Phase II). The candidate will be self-motivated and strongly driven to succeed while demonstrating the ability to function well within a fast-paced and collaborative team-oriented environment. The candidate will also be inquisitive and innovative, exhibiting scientific curiosity and the ability to acquire new skills for fed-batch and perfusion based upstream cell culture processes. This is an exciting opportunity to learn cutting-edge cell culture techniques and develop cell culture subject matter expertise. This role will have significant impacts on early pipeline projects, next generation cell culture process development and manufacturing strategies within the global network. Main Duties & Responsibilities • Require to be on site daily; Weekend work required occasionally. • Plan and execute experiments to optimize upstream cell culture platform process at different scales (shake flasks, AMBR, 3L/10L bioreactors, etc.) • Perform upstream experiments and collaborate with other functional groups to speed Phase I pipeline projects • Contribute to technical reports, experimental protocols, and technical summaries for presentation internally and externally • Participate in the technology transfer of processes into manufacturing facilities • Ensure safety and environmental compliance are maintained in the workplace • Some weekend working may be required for this role Basic Qualifications • Bachelor or Master's degree in Chemical Engineering, Biochemical Engineering, Cell Biology, Biochemistry or a related discipline • Post-education experience ?=3 years • Understanding of aseptic technique and principles of mammalian cell culture • Detailed in lab operations and quick learner for new technologies Preferred Qualifications • Experience in the operation of fed-batch and/or perfusion-based cell culture bioreactors • Knowledge of CMC$68k-96k yearly est. 1d agoML Safety & Benchmarking Research Engineer
Apple Inc.
San Francisco, CA jobs
A leading technology company located in San Francisco is seeking a Machine Learning Research Engineer to design and develop safe AI benchmarking methodologies. This role involves collaboration with various teams to implement responsible evaluation techniques. Candidates should possess a strong research background, proficiency in Python, and experience in AI/ML model evaluation. The position offers competitive compensation, stock option opportunities, and comprehensive benefits including medical, dental coverage, and educational reimbursement. #J-18808-Ljbffr$151k-193k yearly est. 4d agoResearch Engineer
Factory
San Francisco, CA jobs
Factory is seeking innovative AI Engineers to design and integrate advanced AI and ML capabilities that revolutionize productivity and accelerate innovation within software organizations. What you will do and achieve: Design, develop, and deploy AI-driven agentic systems that enhance Factory's core AI capabilities, focusing on retrieval systems, code generation evaluation, agentic user experience development, and agent backend architecture. Collaborate with product and engineering teams to incorporate emerging AI research findings into practical, customer-centric solutions. Engage in iterative development processes, rapidly prototyping and refining AI functionalities based on real-world feedback to meet the evolving needs of developers and enterprises Take the initiative in identifying and addressing product stability and scalability challenges, ensuring our platform reliably support large-scale operational demands Qualifications: 2+ years of hands-on experience in AI/ML engineering roles post-acquisition of a Bachelor's or Master's degree in Computer Science, Engineering, AI, or a related technical field. Demonstrated proficiency with LLMs and a track record of applying AI/ML techniques to solve complex, unstructured problems, ideally within the domain of software engineering or related areas. Self-motivated and autonomous, with a proven ability to navigate ambiguous research projects from conception to impactful deployment. Strong communication skills that enable you to articulate technical concepts and strategies clearly at all levels, coupled with a strategic mindset oriented towards innovation. Experience with data-intensive applications and familiarity with the software development lifecycle are highly desirable, though not mandatory. The team goes into the office 5 days a week in San Francisco (walking distance to Caltrain). #J-18808-Ljbffr$123k-167k yearly est. 2d agoResearch Engineer, Codex
Openai
San Francisco, CA jobs
The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. Our mission is to push the frontier of code generation and agentic reasoning, and deploy these capabilities in real-world products such as ChatGPT and the API, as well as in next-generation tools specifically designed for agentic coding. We operate across research, engineering, product, and infrastructure-owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. About the Role As a member of the Codex team, you will advance the capabilities, performance, and reliability of AI coding models through a combination of research, experimentation, and system optimization. You'll collaborate with world-class researchers and engineers to develop and deploy systems that help millions of users write better code, faster-while also ensuring these systems are efficient, cost-effective, and production-ready. We're looking for people who combine deep curiosity, strong technical fundamentals, and a bias toward impact. Whether your strengths lie in ML research, systems engineering, or performance optimization, you'll play a pivotal role in pushing the state of the art and bringing these advances into the hands of real users. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you might: Design and run experiments to improve code generation, reasoning, and agentic behavior in Codex models. Develop research insights into model training, alignment, and evaluation. Hunt down and address inefficiencies across the Codex system stack-from agent behavior to LLM inference to container orchestration-and land high-leverage performance improvements. Build tooling to measure, profile, and optimize system performance at scale. Work across the stack to prototype new capabilities, debug complex issues, and ship improvements to production. You might thrive in this role if you: Are excited to explore and push the boundaries of large language models, especially in the domain of software reasoning and code generation. Have strong software engineering skills and enjoy quickly turning ideas into working prototypes. Think holistically about performance, balancing speed, cost, and user experience. Bring creativity and rigor to open-ended research problems and thrive in highly iterative, ambiguous environments. Have experience operating across both ML systems and cloud infrastructure. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this . At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr$124k-173k yearly est. 3d agoResearch Engineer, Notifcations
Openai
San Francisco, CA jobs
About the Team The ChatGPT team works across research, engineering, product, and design to bring OpenAI's technology to the world. We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products. About the Role We are looking for a Machine Learning Engineer to join our Notifications team, focused on building and scaling intelligent notification systems that provide real value to users even when they are not actively on the product. This role will be central to shaping how ChatGPT communicates proactively and helpfully with users-surfacing the right content, at the right time, through the right channel. You will work on designing and implementing ranking and recommendation systems that leverage both classical ML techniques and large language models (LLMs) to optimize notification relevance, timeliness, and user experience. The ideal candidate has strong ML fundamentals, experience shipping ranking or recommendation systems in production, exposure to LLMs, and sharp product intuition. You should be comfortable operating across research and product boundaries: thinking from first principles, running rigorous experiments, and building scalable systems. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and build end-to-end ranking and recommendation systems for notifications, from modeling to evaluation and deployment. Apply and adapt LLMs to ranking problems, including prompt-based approaches and fine-tuning. Develop experiments to evaluate notification relevance, user value, and long-term impact, working closely with product, data science, and engineering teams. Collaborate with research teams to leverage the latest modeling techniques while balancing practical constraints of production systems. Build robust offline and online evaluations to measure system improvements and user outcomes. Contribute to the broader Growth ML stack and help set technical direction for intelligent user engagement systems. You might thrive in this role if you: Have hands-on experience building and deploying ranking, recommendation, or personalization systems at scale. Have a deep understanding of machine learning and its applications, with exposure to LLMs and their integration into product experiences. Are experienced in experimentation, A/B testing, and analyzing impact on user behavior and business metrics. Are comfortable diving into large ML codebases, designing evaluations, and debugging complex modeling issues. Thrive in dynamic, fast-changing environments and can think from first principles to design elegant solutions. Have strong product intuition and can balance modeling sophistication with product impact. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. OpenAI's Affinity Action and Equal Employment Opportunity Policy Statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via link. OpenAI Global Applicant Privacy Policy. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr$124k-173k yearly est. 5d agoResearch Engineer, Frontier AI Evaluations in Finance
Openai
San Francisco, CA jobs
A leading AI research firm in San Francisco seeks a Research Engineer to evaluate model capabilities in finance. The candidate should possess strong analytical skills, be detail-oriented, and thrive in a dynamic environment. Responsibilities include identifying significant financial workflows and refining AI evaluations. A passion for AGI/ASI measurement and proficiency in Excel are essential. Join us to contribute to advancing AI technology responsibly. #J-18808-Ljbffr$124k-173k yearly est. 3d agoResearch Engineer: AI Safety & Trust Systems
Openai
San Francisco, CA jobs
An established industry player is seeking innovative Research Engineers to enhance AI safety and reliability. In this pivotal role, you will design and implement cutting-edge machine learning models, ensuring they align with human values and safety standards. Collaborating with a diverse team of experts, you'll tackle complex challenges and optimize AI systems for real-world deployment. This is your chance to make a meaningful impact on how AI benefits society while staying at the forefront of technological advancements. If you're passionate about AI safety and eager to contribute to transformative projects, this opportunity is for you. #J-18808-Ljbffr$124k-173k yearly est. 4d agoResearch Engineer, Privacy
Openai
San Francisco, CA jobs
About the Team The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security. We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits. About the Role As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks. This position is located in San Francisco. Relocation assistance is available. In this role, you will: Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks-balancing utility with provable guarantees. Develop internal libraries, evaluation suites, and documentation that make cutting‑edge privacy techniques accessible to engineering and research teams. Lead deep‑drive investigations into the privacy-performance trade‑offs of large models, publishing insights that inform model‑training and product‑safety decisions. Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle-from dataset curation to post‑deployment monitoring. Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling. You might thrive in this role if you: Have hands‑on research or production experience with PETs. Are fluent in modern deep‑learning stacks (PyTorch/JAX) and comfortable turning cutting‑edge papers into reliable, well‑tested code. Enjoy stress‑testing models-probing them for private data leakage-and can explain complex attack vectors to non‑experts with clarity. Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real‑world systems. Thrive in fast‑moving, cross‑disciplinary environments where you alternate between open‑ended research and shipping production features under tight deadlines. Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general‑purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's affirmative action and equal employment opportunity policy statement. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act for U.S.‑based candidates. For Unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non‑public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non‑compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI global applicant privacy policy. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr$124k-173k yearly est. 4d agoLLM Architecture Research Engineer
Openai
San Francisco, CA jobs
A leading AI research company in San Francisco seeks a talented architecture team member to enhance its flagship models. Ideal candidates will have a strong understanding of LLM architectures and experience with deep learning. The role offers a hybrid work model of 3 days in the office, alongside relocation assistance. This position presents an exciting opportunity to contribute to groundbreaking AI advancements. #J-18808-Ljbffr$124k-173k yearly est. 1d agoResearch Engineer, Frontier Evals & Environments - Finance
Openai
San Francisco, CA jobs
The Frontier Evals team builds north star model evaluations to drive progress towards safe AGI/ASI. This team builds ambitious evaluations to measure and steer our models, and creates self-improvement loops to steer our training, safety, and launch decisions. Some of the team's open-sourced evaluations include SWE-bench Verified, MLE-bench, PaperBench, and SWE-Lancer, and the team built and ran frontier evaluations for GPT4o, o1, o3, GPT 4.5, ChatGPT Agent, and GPT5. If you are interested in feeling firsthand the fast progress of our models, and steering them towards good, this is the team for you. About you We seek exceptional research engineers that can push the boundaries of our frontier models in the finance domain. We are looking for those who will help shape AI evaluations of financial reasoning and related capabilities, and will own individual threads within this endeavor end-to-end. Responsibilities Identify important model capabilities, skills, and behaviors that are crucial to financial workflows, and design methods to quantify performance in these areas Own and pursue a research agenda to identify an important model capability (especially as it relates to financial reasoning) and build evals to measure it Continuously refine evaluations of frontier AI models to assess the extent of frontier capabilities Requirements Have strong engineering and statistical analysis skills (with at least 2-3 years of full-time technical experience) Be passionate about Excel spreadsheets and/or finance Be detail-oriented and thorough Be a team player / willing to do a variety of tasks to move the team forward Be passionate and knowledgeable about AGI/ASI measurement Be able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end Nice to have Prior background / domain expertise in finance, especially investment banking or private equity (e.g., through internships, prior jobs) An ability to work cross-functional Excellent communication skills About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology. #J-18808-Ljbffr$124k-173k yearly est. 3d ago
Looking for a job?
Let Zippia find it for you.
Learn more about Cisco jobs
- Reviews
