Member of Technical Staff, Model Training (applied research)

Role: Model Training Member of Technical Staff (applied research)

Type of job: full-time

Location: Remote

About the role

Your work spans multimodal systems, language models, autonomous agents, and robotics, building models tuned for particular applications and settings. You'll own the whole development cycle: learning what an application needs, designing training data, adapting the model, evaluating it, and deploying it to production.

The aim is specialized models that equal or beat frontier models on chosen workloads while running far more efficiently, with lower latency and cost.

You'll work where applied ML research meets production engineering, turning progress in model training into dependable, fast systems with real, measurable impact.

What You'll Do

• Adapt, fine-tune, and train robotics, vision-language, and language models with SFT (supervised fine-tuning), RL (reinforcement learning), distillation, and imitation learning.
• Build specialized models for demanding uses such as multimodal understanding, robot perception and control, and autonomous agents that reason, plan, and use tools.
• Create simulated training and eval environments to study policy learning, how tasks generalize, and how skills carry over from simulation to the real world.
• Blend synthetic data, human feedback, trajectories generated by environments, and expert demonstrations into strong training sets, reward signals, and curricula.
• Build specialized models behind micro1's flow ecosystem, improving data generation, labeling, quality checks, and automated grading.
• Feed expert corrections and model performance data into repeated training rounds to keep raising accuracy, robustness, and task success.
• Tune models for production inference, weighing latency, throughput, quality, and compute efficiency against baselines set by frontier models.
• Work with platform engineering and research teams to turn promising prototypes into model deployments that scale and are ready for production.

What We're Looking For

• Strong grounding in deep learning and machine learning, with practical experience training, adapting, and evaluating current AI models.
• Real-world work in at least one area: robotics, autonomous agents, LLMs, vision-language models, or reinforcement learning.
• Strong Python and PyTorch, able to build dependable pipelines for training, evaluation, and inference.
• Background turning application requirements into measurable model goals, benchmarks, and performance gains.
• Solid software fundamentals: you can build systems that are easy to maintain and push research prototypes toward production.
• Knowledge of adaptation methods like distillation, fine-tuning, reinforcement learning, or imitation learning.
• Strong experimental judgment, able to find performance bottlenecks on your own, weigh trade-offs, and iterate to solutions that work.

Nice to Have

• Background in embodied AI, robotics, policy learning in simulation, or vision-language-action models.
• Knowledge of agent frameworks, models that use tools, and training driven by environments.
• Background with automated evaluation, synthetic data creation, or learning with a human in the loop.
• Knowledge of inference optimization such as batching, quantization, efficient serving, and compressing models.
• Background deploying specialized models to production where latency, reliability, or cost demands are tough.
• Research or open-source contributions in applied ML, multimodal AI, robotics, or agent systems.

Compensation & Benefits Notice

Nationally, base pay for this full-time job runs $200,000–$320,000. Every employee can receive equity, and bonuses tied to performance may also apply depending on the role and company policy. Benefits cover health-insurance premiums (reimbursed at up to 100%), paid time off, a 401(k) with a company match, and other perks meant for a remote-first team that performs at a high level.

micro1 hires on an equal-opportunity basis. Every qualified applicant is considered without regard to age, color, disability, national origin, race, religion, sex (pregnancy, gender identity, and sexual orientation included), veteran status, genetic information, or any other trait that applicable local laws, ordinances, or regulations protect. Applicants who need help or a reasonable accommodation while applying can ask for it.

AI tools help screen and assess candidates in the hiring process. They are meant to support people's hiring decisions, not to take them over.

Application process

Submit your application through NorthStar. Employer screening may follow after submission.