OCTOPYD · 1 day ago
Applied Scientist
San Jose, CA
Full-time
Hybrid
Mid, Senior LevelOCTOPYD is a rapidly growing, VC-backed startup redefining the intersection of physics, programming, and machine learning. They are seeking an Applied Scientist to tackle scientific and coding challenges by developing novel reinforcement-learning algorithms and physics-informed models to accelerate breakthroughs in various domains.
Artificial Intelligence (AI)Human ResourcesMachine LearningSaaSSoftware
Responsibilities
Prototype and validate new algorithms. Design, implement, and empirically evaluate novel RL, supervised, and unsupervised methods—especially 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 datasets—experimental logs, simulation outputs, and user interaction traces—to 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
Qualification
Required
PhD or Master's 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 algorithms—ideally 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
Preferred
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
Company
OCTOPYD
AI First End-to-End Recruitment Platform
Founded in 2025
2-10 employees
Funding
Current Stage
Early StageLeadership Team
Mahshid Fardadi
Co-Founder & CEO
Recent News
2025-12-04
2025-09-15
Company data provided by crunchbase