701 research engineer jobs at 115 companies in Patterson, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Collinear: Builds simulation platforms to improve AI agent reliability.
Bachelor’s, Master’s, or PhD in a technical field; strong software engineering; ML foundation models; RL or simulation experience; Python CLI-first development; reproducible research.
Chan Zuckerberg Biohub: Builds AI-powered technologies for biomedical research and disease study.
3+ YOEExperience in building and scaling deep learning systems; strong engineering and scientific fundamentals; ability to handle ambiguity and iterate rapidly; excellent communication across technical and scientific audiences.
RocheSIX Swiss Exchange: ROG: Develops and manufactures pharmaceutical medicines and diagnostic solutions.
7+ YOEDegree in mechanical/electrical/biomedical engineering with extensive industry experience (examples: 7+ years for BS), hands-on experience with fluidic systems, Python proficiency, SolidWorks, experimental design, prototyping, and troubleshooting.
Trener Robotics: Developing AI software for industrial robotic systems.
Establish and operate a local robotics research lab, translate experimental designs into physical setups, collect demonstration data, train and deploy learned policies to hardware, and develop supporting software pipelines.
Senior Research Engineer - AI-Native Online Datastore Systems
San Jose, California, United States
$213k-$450k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
Research background (PhD or thesis-based Master's), proficiency in Python and Go/C++/Java, expertise in LLM application engineering, distributed systems knowledge, and experience translating research into production.
NVIDIANASDAQ: NVDA: Designs graphics processing units and artificial intelligence hardware.
12+ YOE12+ years applied AI/ML experience in AI-for-code, strong Python and software engineering, hands-on LLM fine-tuning and evaluation, experience building coding agents and shipping research into product, familiarity with CUDA and NVIDIA tooling.
Bosch: Global manufacturer of automotive and industrial engineering technology.
Bachelor's degree in CS/engineering, strong Python software engineering, hands-on experience with LLMs and agentic systems (tool use, planner-executor, RAG), ML fundamentals, experiment design, and strong communication skills; industrial research experience preferred.
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
MS or PhD in CS or Computer Engineering with strong emphasis on AI/ML; strong ML frameworks; Transformer and multimodal models expertise; production-ready research experience.
ByteDance: Developing AI-driven content platforms and mobile applications.
MS/PhD in CS or related field, research/practical experience in 3D computer vision (face/body), strong algorithm design, publications preferred, proficient in C/C++ and Python.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
8+ YOEMS/PhD in CS/CE or equivalent experience, 8+ years in computer vision/video retrieval/ML, experience with agentic AI workflows, model training/optimization, PyTorch and Python, strong communication and research familiarity.
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
Ph.D. in Computer Science or Electrical/Computer Engineering; strong distributed systems, HPC, AI workloads; programming in C/C++, Python; Linux kernel, Open vSwitch; CUDA, PyTorch, Kubernetes; network protocols.
PlusAI: AI-based virtual driver software for factory-built autonomous trucks.
Pursuing MS or PhD in Computer Science, Electrical Engineering, Robotics or related field; programming in Python and C++; experience in 3D computer vision; internship focused on reconstruction, auto labeling and mapping.
Senior Tactile Research Engineer - Special Projects (Robotics)
Santa Clara, California, United States
OnsiteFull Time
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Advanced background in mechatronics, controls, haptics, robotics, simulation, and machine learning; hands-on integration of software and hardware; research and engineering experience.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
PhD completed or near completion; strong programming and system-building skills; experience with CUDA/PyTorch/Kubernetes; network protocols; distributed systems; written and verbal communication.
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
Ph.D. in CS/EE; strong distributed systems/HPC/AI; proficiency in C/C++, Python; experience with CUDA, PyTorch, Kubernetes; knowledge of network protocols.
Lawrence Livermore National Laboratory: Develops science and technology for United States national security.
Ability to perform precision engineering and dimensional metrology, use Matlab/Python/VB, apply uncertainty analysis and GD&T, and obtain DOE Q-level security clearance (U.S. citizenship required). Bachelor's required; Master's preferred for higher level.
Agility Robotics: Develops bipedal humanoid robots for industrial warehouse automation.
7+ YOE7+ years software/AI/robotics experience, 3+ years hands-on RL/imitation learning or LfD deployments, MS in Robotics/CS preferred, strong Python and PyTorch skills, experience with robot hardware and sim-to-real workflows, mentoring experience.
Python, PyTorch, DiffusionPolicy, Mujoco, Isaac Sim, C++
Renesas ElectronicsTokyo Stock Exchange: 6723: Designs and manufactures semiconductors for automotive and industrial systems.
Currently pursuing BS/MS/PhD in CS, AI, ML, robotics or related; strong Python and PyTorch or TensorFlow experience; knowledge of ML, deep learning, computer vision, causal reasoning, and edge deployment.