OCTOPYD
At
one of our partner companies , they are not just building AIthey are redefining whats possible at the nexus of physics, programming, and machine learning. As an Applied Scientist on the team, youll tackle real-world scientific and coding challengesdeveloping novel reinforcement-learning algorithms and physics-informed models that accelerate breakthroughs in logic, coding, and semiconductor design. If you thrive on pushing the envelope of research and translating cutting-edge ideas into production-grade systems, this is your stage. What you'll do Prototype and validate new algorithms.
Design, implement, and empirically evaluate novel RL, supervised, and unsupervised methodsespecially those that leverage physics priors or logical constraints. Bridge research and production.
Collaborate closely with ML Engineers and infrastructure teams to integrate experimental models into scalable pipelines, ensuring reproducibility, observability, and sub-second performance. Build robust experimentation platforms.
Develop and maintain data-processing pipelines, training orchestration, and evaluation frameworks to accelerate iteration on large-scale experiments. Analyze and iterate.
Dive deep into large datasetsexperimental logs, simulation outputs, and user interaction tracesto diagnose model behavior, surface failure modes, and drive evidence-based improvements. Publish and present.
Document findings in technical reports, contribute to open-source projects, and present work internally (and externally, when appropriate) to help shape the broader AI research community. What You Bring PhD or Masters in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a closely related field, with a strong focus on machine learning, reinforcement learning, or scientific computing. Hands-on experience developing and evaluating ML/RL algorithmsideally demonstrated via publications, open-source contributions, or applied research projects. Proficiency in Python and deep-learning frameworks (PyTorch or TensorFlow), with solid coding practices for collaborative research. Excellent communication skills: able to distill complex technical ideas into clear narratives for both technical and non-technical audiences. Bonus Points The following items are not required but are great bonuses: Prior work on physics-informed neural networks, scientific simulations, or logic-based learning. Demonstrated expertise in reinforcement learning for combinatorial optimization, theorem proving, or code generation. Background in semiconductor design flows, EDA tools, or hardware-in-the-loop experimentation. What it's like there They are a rapidly growing, VC-backed startup where raw talent and collaborative spirit over ego isnt just a mottoits how the team works every day. Youll be surrounded by teammates who have built companies from zero to IPO, led teams at Google and Amazon, and earned medals in international science Olympiads. The culture values relentless curiosity, humble problem-solving, and a bias toward action. Logistics Locations:
Redwood Shores, CA (U.S.) and Toronto, ON (Canada) Schedule:
Four days in the office, one day remote Visa Sponsorship:
H-1B transfers and other employment-based visas are welcome Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Research Industries
Semiconductor Manufacturing and Software Development Referrals increase your chances of interviewing at OCTOPYD by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Researcher jobs in
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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
one of our partner companies , they are not just building AIthey are redefining whats possible at the nexus of physics, programming, and machine learning. As an Applied Scientist on the team, youll tackle real-world scientific and coding challengesdeveloping novel reinforcement-learning algorithms and physics-informed models that accelerate breakthroughs in logic, coding, and semiconductor design. If you thrive on pushing the envelope of research and translating cutting-edge ideas into production-grade systems, this is your stage. What you'll do Prototype and validate new algorithms.
Design, implement, and empirically evaluate novel RL, supervised, and unsupervised methodsespecially those that leverage physics priors or logical constraints. Bridge research and production.
Collaborate closely with ML Engineers and infrastructure teams to integrate experimental models into scalable pipelines, ensuring reproducibility, observability, and sub-second performance. Build robust experimentation platforms.
Develop and maintain data-processing pipelines, training orchestration, and evaluation frameworks to accelerate iteration on large-scale experiments. Analyze and iterate.
Dive deep into large datasetsexperimental logs, simulation outputs, and user interaction tracesto diagnose model behavior, surface failure modes, and drive evidence-based improvements. Publish and present.
Document findings in technical reports, contribute to open-source projects, and present work internally (and externally, when appropriate) to help shape the broader AI research community. What You Bring PhD or Masters in Computer Science, Applied Mathematics, Physics, Electrical Engineering, or a closely related field, with a strong focus on machine learning, reinforcement learning, or scientific computing. Hands-on experience developing and evaluating ML/RL algorithmsideally demonstrated via publications, open-source contributions, or applied research projects. Proficiency in Python and deep-learning frameworks (PyTorch or TensorFlow), with solid coding practices for collaborative research. Excellent communication skills: able to distill complex technical ideas into clear narratives for both technical and non-technical audiences. Bonus Points The following items are not required but are great bonuses: Prior work on physics-informed neural networks, scientific simulations, or logic-based learning. Demonstrated expertise in reinforcement learning for combinatorial optimization, theorem proving, or code generation. Background in semiconductor design flows, EDA tools, or hardware-in-the-loop experimentation. What it's like there They are a rapidly growing, VC-backed startup where raw talent and collaborative spirit over ego isnt just a mottoits how the team works every day. Youll be surrounded by teammates who have built companies from zero to IPO, led teams at Google and Amazon, and earned medals in international science Olympiads. The culture values relentless curiosity, humble problem-solving, and a bias toward action. Logistics Locations:
Redwood Shores, CA (U.S.) and Toronto, ON (Canada) Schedule:
Four days in the office, one day remote Visa Sponsorship:
H-1B transfers and other employment-based visas are welcome Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Job function
Engineering and Research Industries
Semiconductor Manufacturing and Software Development Referrals increase your chances of interviewing at OCTOPYD by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Machine Learning Researcher jobs in
Redwood City, CA . Machine Learning Scientist (Staff / Sr Staff) - Power Markets
Mountain View, CA $110,000.00-$160,000.00 3 weeks ago South San Francisco, CA $54.00-$97.00 2 weeks ago San Jose, CA $123,500.00-$212,850.00 1 week ago Head of Computer Vision and Machine Learning
Redwood City, CA $160,000.00-$220,000.00 1 year ago Senior Machine Learning Engineering Manager
San Francisco Bay Area $237,000.00-$338,000.00 2 weeks ago Distinguished Research Scientist, Physics Informed AI
Advanced Data Science Associate Consultant - Generative AI and Machine Learning
Senior Machine Learning Engineering Manager
Mountain View, CA $209,700.00-$303,150.00 4 days ago Geospatial Data Scientist (Research Fellow or Part-time Consultant)
San Francisco, CA $40.00-$80.00 2 months ago Geospatial Data Scientist (Research Fellow or Part-time Consultant)
Sr. Machine Learning Engineering Manager
San Jose, CA $168,200.00-$340,100.00 1 week ago San Francisco, CA $205,000.00-$300,000.00 3 months ago Machine Learning Engineering Manager, Enterprise
Research Scientist Graduate, Quantum Chemistry and Machine Learning - 2026 Start (PhD)
San Jose, CA $136,800.00-$259,200.00 2 weeks ago Machine Learning Engineering Manager, Advertiser Optimization
Santa Clara, CA $215,280.00-$364,320.00 1 month ago San Francisco, CA $183,000.00-$275,000.00 7 hours ago San Jose, CA $232,000.00-$398,750.00 2 months ago Alameda, CA $136,000.00-$170,000.00 4 hours ago Senior Research Scientist, Quantum AI, Practical Techniques
Mountain View, CA $166,000.00-$244,000.00 17 hours ago Senior Research Scientist, Quantum AI, Practical Techniques
San Francisco, CA $166,000.00-$244,000.00 17 hours ago San Francisco, CA $223,000.00-$248,000.00 2 weeks ago Mountain View, CA $165,000.00-$298,800.00 4 days ago San Francisco, CA $125,000.00-$215,000.00 5 months ago Co-founder and Chief Scientific Officer/CTO/Quantum AI Researcher (PhD)
Alameda, CA $116,000.00-$145,000.00 4 hours ago Senior Product Engineer, Machine Learning Accelerators
Sunnyvale, CA $138,000.00-$202,000.00 2 days ago Machine Learning Engineering Manager, Safeguards
Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr