Senior Machine Learning Engineer
Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.
This is a founding technical role to build and shape Applied Intuition’s robotics organization. You will define technical architecture, write production code for robotics software and AI, and build functional demos on physical hardware.
This is a founding technical role helping build and shape Applied Intuition’s robotics organization from the ground up. You will set the technical direction for robotics software and AI, write production code, and build functional demos on physical hardware from day one. The role is weighted heavily toward software and learned behaviors, with the expectation that you can engage meaningfully across the hardware stack when needed.
At Applied Intuition, you will:
We're looking for someone who has:
Nice to have:
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $250,000 - $400,000 USD annually. Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Partners with researchers to productionize ML models for quantitative trading, builds data pipelines and infrastructure, and leads projects requiring strong Python, math, and ML systems expertise.
As a Software Engineer, you will build and design the machine learning infrastructure for OpenAI's monetization and ads systems. This involves developing large-scale data pipelines, model training platforms, real-time inference systems, and experimentation frameworks to support high-throughput, low-latency advertising workloads.
Build and operate production ML systems and platform components for healthcare technology, partnering with ML and data science teams on model deployment, observability, and reliability.
Research Engineer/Scientist shaping personalities and behaviors of personalized AI models like ChatGPT using RL, reward modeling, synthetic data, and post-training methods. Requires strong ML engineering and research experience with large models.
Train frontier models to generate polished artifacts (docs, spreadsheets, slides) by owning post-training improvements across RL, data, evals, and alignment. Requires strong ML fundamentals and hands-on LLM/RL experience.