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Research In Jobs in Sunnyvale, CA (NOW HIRING)

Senior Research Scientist

Palo Alto, CA · On-site

$115K - $147K/yr

Responsibilities : • Conduct cutting-edge research in artificial intelligence, from frontier LLMs to embedding models and rerankers. • Innovate in next-generation information retrieval and LLM ...

Responsibilities : • Conduct high-quality research in the intersection of RL and formal methods, with a focus on mathematical theorem proving. • Develop and implement novel RL algorithms and ...

Research Scientist

San Francisco, CA · On-site

$200K - $325K/yr

Define and lead research directions in action-conditioned world models, physical AI, and generative modeling for embodied systems * Design novel architectures, training objectives, and evaluation ...

Showing results 21-40

Research In information

What is the difference between Research In vs Research Analyst?

AspectResearch InResearch Analyst
Required CredentialsTypically requires a degree in research, social sciences, or related fieldsRequires a degree in research, statistics, or related disciplines
Work EnvironmentOften in research institutions, labs, or corporate R&D departmentsUsually in corporate, market research firms, or financial institutions
Employer & Industry UsageUsed in research-focused organizations across various industriesCommon in finance, marketing, and consulting sectors
Search & Comparison IntentPeople compare roles related to research activities in organizationsIndividuals looking into research roles with analytical focus

Research In and Research Analyst roles both involve research activities but differ mainly in industry focus and work environment. Research In typically refers to research positions within organizations or labs, while Research Analysts are more common in corporate and financial sectors. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What cities near Sunnyvale, CA are hiring for Research In jobs?

Cities near Sunnyvale, CA with the most Research In job openings:

AI Research Engineer - Agentic AI

Bosch Group

Sunnyvale, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago


Job description

Company Description
The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
As part of the global research organization, our AI research in Silicon Valley focuses on Foundation Models and Gen AI, Human-AI Collaboration and Trustworthy AI, AI for Advanced Driver-Assistance Systems (ADAS) and Autonomous Systems, AI Systems Engineering, and Industry AI. We develop scalable, intelligent, and trustworthy AI solutions to enable inspiring user experiences for Bosch products and services in application areas such as ADAS, smart manufacturing, enterprise AI, healthcare, smart home, and building solutions.
Originating from Bosch AI research in Silicon Valley, our Vision and Language AI Group advances cutting-edge research in two core AI areas: large language models (LLMs) and 3D computer vision. In the LLM space, we focus on AI agents, retrieval-augmented generation, and effective adaptation of LLMs to Bosch domain-specific applications. In 3D vision, we advance spatial intelligence with 3D world models that perceive, reconstruct, and simulate the physical world, enabling reliable embodied control and sim-to-real transfer. By integrating these two areas, we aim to build intelligent systems that can perceive, reason, and communicate seamlessly across both language and spatial environments. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as ACL, EMNLP, CVPR, ICCV, ECCV, NeurIPS, AAAI and CoRL.
Job Description
Responsibilities:
  • Design, build, and evaluate agentic AI systems that can plan, reason, act, and collaborate across tools and environments, including single- and multi-agent setups for complex, long-horizon tasks.
  • Develop robust agent harnesses and evaluation frameworks covering end-to-end testing, regression analysis, trace logging, replayability, and metrics for success, cost, latency, robustness, and safety.
  • Implement self-improving agent loops using reflection, critique, self-debugging, and iterative optimization strategies driven by agent experience, execution traces, and automated feedback.
  • Architect and optimize agent memory systems, including short-term and long-term memory, retrieval-augmented generation, summarization, compression, forgetting policies, and privacy-aware retention.
  • Enable reliable deployment of agents on constrained and edge environments, focusing on model/runtime optimization, partial or offline execution, secure tool-use, and seamless edge-cloud coordination.

Qualifications
Basic Qualifications
  • Bachelor or master's degree in computer science or engineering
  • Strong software engineering skills in Python
  • Hands-on experience with LLMs and agentic systems, such as tool-using agents, planner-executor patterns, multistep reasoning pipelines, RAG systems
  • Solid understanding of ML fundamentals and practical model usage, including prompting, evaluation, and error analysis
  • Ability to design experiments and interpret results, including ablations, statistical thinking, clear success criteria and measurable KPIs
  • Strong communication and documentation skills including clear write-ups, reproducible experiments, and crisp technical presentations

Preferred Qualifications
  • 3+ years experiences in industrial research.
  • Experience with one or more of the following topics:
    • Agent frameworks
    • Structured generation
    • Agent memory management
    • Self-improving agents
    • LLM fine-tuning & reinforcement learning
    • Model optimization for edge
    • Harness engineering
  • Hands-on experience on production of AI systems

Additional Information
We offer a competitive base salary for this position with a range in US-California of --$165,000 - $180,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.
Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process.
Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome.
Equal Opportunity Employer, including disability / veterans.
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