Machine Learning Researcher

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 youll 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

Bonus points

The following items are not required but are great bonuses :

What its 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

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