Remote Software engineering Jobs · Reinforcement Learning

• Build reinforcement learning and agent environments for real customer and Frontier lab use cases, including task specifications, scoring, and evaluation.
• Develop benchmarks and evaluation harnesses to measure model and data quality across accuracy, robustness, safety, latency, and cost.
• Run fine-tuning, adapter, and other model experiments to evaluate how data and methods influence model behavior, and deploy local or self-hosted models for evaluation and inference.

Appen has been a leader in AI training data for over 30 years, specializing in human-generated data to train, fine-tune, and evaluate models across generative AI, LLMs, computer vision, and speech recognition. They support model development through an AI-assisted data annotation platform and a global crowd of over 1 million contributors in more than 200 countries, fostering a culture of innovation, collaboration, and humility over ego.

• Design and implement state-of-the-art ML models and training pipelines for robotics.
• Develop efficient data/training strategies and evaluation frameworks for rapid experimentation.
• Collaborate with engineering to optimize training infrastructure and deployment.

We're revolutionizing real-world automation by making robotic systems accessible to everyone. Our AI-powered platform brings software automation to physical spaces, and we're a small startup team working across the stack to solve customer problems.

• Develop and train ML models for learned behavior systems using imitation and reinforcement learning.
• Write production-quality ML code for training, evaluation, and inference in the autonomy stack.
• Collaborate with teams to test and integrate learned behavior models across diverse driving environments.

Torc is an autonomous vehicle technology company that develops software for automated trucks, with a goal to transform freight movement. Now a part of the Daimler family, the company fosters a collaborative, energetic, and team-focused culture.