Senior Software Engineer - Machine Learning

Jobs via Dice; United States; Remote; USD 134,000 - 205,000; Full time

Job summary

A leading company seeks a Senior Software Engineer specializing in Machine Learning to join their Smart Agents group. This remote role involves developing ML models for autonomous vehicle simulations, requiring strong programming skills in C++ or Python and experience in robotics. The position offers a competitive salary range of $134,000 to $205,000, along with a comprehensive benefits package.

Benefits

Health plans

Retirement

Paid time off

Tuition assistance

Vehicle discounts

Qualifications

• 4+ years of experience in robotics or latency-sensitive backend services.
• Experience working with ML teams, algorithms, and models.
• Strong programming skills in C++ or Python.

Responsibilities

• Support the team in developing ML and RL models, including training and optimization.
• Streamline integration and create ML infrastructure, metrics, data pipelines for deployment and experimentation.
• Collaborate as part of an ML team, contributing strong software engineering expertise.

Skills

C++

Python

Robotics

Machine Learning

Reinforcement Learning

Software Engineering

Job description

Senior Software Engineer - Machine Learning

Job Description

This role is based remotely, but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford, or Mountain View, you are expected to report to that location three times a week at minimum.

Role: The Smart Agents group is responsible for building ML models and systems to simulate road users in various situations, generating scenarios for testing and training autonomous vehicle (AV) driving policies. If you think of simulation as a video game our autonomous vehicles train on, the Smart Agents team develops ML/AI models that control other characters in the game, such as vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The team works closely with Simulation, Behaviors, Perception, and Safety Engineers.

The specific duties include ML/RL model development, training loop development, optimization, integration, creating ML infrastructure, metrics, and data pipelines for production deployment and rapid experimentation.

What You'll Do:

• Support the team in developing ML and RL models, including training and optimization.
• Streamline integration and create ML infrastructure, metrics, data pipelines for deployment and experimentation.
• Collaborate as part of an ML team, contributing strong software engineering expertise.
• Support project timelines, especially in Autopilot, Lane Keep, and AV technologies.
• Experience in simulation and robotics is highly desirable, with a preference for candidates from AV or robotics backgrounds.

Your Skills & Abilities:

• 4+ years of experience in robotics or latency-sensitive backend services.
• Experience working with ML teams, algorithms, and models.
• Bonus: Building high-performance ML and system pipelines.
• Strong programming skills in C++ or Python.
• Experience with profiling CPU/GPU software, process scheduling, and prioritization.
• Passion for self-driving car technology.
• Expertise in scalable, efficient, fault-tolerant architectures.
• Ability to design across multiple systems and investigate sophisticated areas.
• Ability to shift between coding, design, strategy, and mentorship with good judgment.
• Track record in deploying perception, prediction, and AV models into real-world environments.
• Experience with RL and sequence prediction models.

Compensation: The salary range is $134,000 to $205,000, based on experience and other factors. Benefits include health plans, retirement, paid time off, tuition assistance, vehicle discounts, and more. Relocation benefits may be available.

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