Companies you'll love to work for

We're looking for an applied ML engineer who can bridge research and production. You're excited to take models from prototype to deployment, own end-to-end ML systems, and solve messy real-world problems. You're high-agency, curious, and love building and tinkering. We care far more about your ability to ship working solutions and problem solve than years of experience or specific credentials.

You'll thrive here if you:

• Are excited by translating business problems into ML solutions

• Bring curiosity about both model performance and system reliability

• Value rapid iteration and pragmatic tradeoffs over perfectionism

• Have a technical range from experiment design to production infrastructure

• Can communicate concepts clearly to non-technical stakeholders

• Want to have the experience and responsibilities of being a founding team member

You're likely proficient in:

• Python and the ML ecosystem (PyTorch/TensorFlow, OpenCV, scikit-learn, pandas, numpy)

• Training, evaluating, and iterating on models for real problems

• Building data pipelines for model training and inference

• Deploying and monitoring ML models in production

• Working with messy, real-world data (cleaning, feature engineering, validation)

• Experience with computer vision

• Cloud ML infrastructure

Bonus:

• Experience with Graph Machine Learning, Geospatial Data and multimodal LLMs

• Domain knowledge in utilities, energy infrastructure, industrials, robotics or physical science and engineering disciplines

• Experience in early-stage startups where you wore multiple hats

• Experience with human data operations