9 months ago
Base Salary
$140k - $180k/yr
Responsibilities
- Design and implement on-board decision-making models that recommend and adapt strategies in real time.
- Develop autonomous decision algorithms integrating perception, state estimation, and intent prediction models.
- Research, train, and deploy machine-learning models for decision-making.
- Build decision models that adapt to mission context, environmental conditions, and system status.
- Develop frameworks for continuously reevaluating active strategies under uncertainty.
- Support real-time autonomy in communications-limited and time-critical scenarios.
- Build and maintain autonomy infrastructure, testing frameworks, and deployment pipelines for space missions.
Requirements
- Bachelor’s or master’s degree in computer science, machine learning, robotics, a related field, or equivalent experience.
- At least 2 years of industry experience in autonomy, decision-making, or control systems for aerospace or robotics.
- Strong proficiency in C++, Python, PyTorch, and TensorFlow.
- Demonstrated experience applying machine learning to decision-making or control problems.
- Experience with optimal control, planning, or reinforcement learning in real-time systems.
- Familiarity with multi-agent decision-making or planning under uncertainty.
- Preferred experience implementing autonomy applications in real-time or safety-critical environments.
- Preferred experience integrating perception and prediction outputs into decision frameworks.
- Preferred familiarity with resource-aware strategy selection, hierarchical planning, adaptive control, distributed ML training, cloud-based ML scaling, real-time systems, multi-threading, performance optimization, distributed autonomy, networking, and communication protocols.
- Preferred experience with AWS, GCP, or Azure; Linux, Git, CI/CD pipelines; Docker; and Kubernetes.
- Must meet applicable ITAR eligibility requirements.
Benefits
- Meaningful equity incentives through the employee option pool.
- Flexible PTO with paid vacation, holidays, and sick leave.
- Comprehensive medical, dental, and vision coverage.
- 401(k) retirement plan with company match.
- Role is based in Los Angeles or San Francisco.
Tech Stack
Categories
ML EngineeringRobotics
About Lodestar
Mortgage closing costs are all we do. From statewide transfer taxes to granular township fees, we make sure you closing costs are right for every disclosure. With an independent database of service providers and government fees, LodeStar leverages technological and mortgage industry expertise to create products and partnerships that automate disclosure of closing costs. Above all else, LodeStar’s core values are providing clarity, community, and connectivity throughout the mortgage industry.