Remote Model Training Scientist—Applied ML

Remotebridge; United States; Remote; USD 200,000 - 320,000; Full time

Job summary

micro1 is seeking a Member of Technical Staff, Model Training (applied research) to work across language models, multimodal systems, robotics, and autonomous agents. You will own the full model development lifecycle, from understanding application requirements and designing training datasets to model adaptation, evaluation, and production deployment.

Our objective is to build specialized models that match or exceed frontier models on targeted workloads while significantly improving inference

Qualifications

• Strong foundations in machine learning and deep learning, with hands-on experience training, adapting, and evaluating modern AI models.
• Practical experience in one or more areas, including large language models, vision-language models, robotics, reinforcement learning, or autonomous agents.
• Strong proficiency in Python and PyTorch, with the ability to develop reliable training, evaluation, and inference pipelines.
• Experience translating application requirements into measurable model objectives, benchmarks, and performance improvements.
• Solid software engineering fundamentals, including the ability to build maintainable systems and move research prototypes toward production.
• Familiarity with model adaptation techniques such as fine-tuning, distillation, imitation learning, or reinforcement learning.
• Strong experimental judgment and the ability to independently identify performance bottlenecks, evaluate trade-offs, and iterate toward effective solutions.

Responsibilities

• Train, fine-tune, and adapt language, vision-language, and robotics models using supervised fine-tuning (SFT), reinforcement learning (RL), imitation learning, and distillation.
• Develop specialized models for complex applications, including multimodal understanding, robotic perception and control, and autonomous agents capable of reasoning, planning, and tool use.
• Build simulation-based training and evaluation environments to study policy learning, task generalization, and the transfer of capabilities from simulated to real-world settings.
• Combine expert demonstrations, human feedback, synthetic datasets, and environment-generated trajectories into effective training datasets, reward signals, and learning curricula.
• Develop specialized models that power Our team's flow ecosystem, improving data generation, annotation, quality assurance, and automated grading workflows.
• Incorporate expert corrections and model performance feedback into iterative training cycles to continuously improve accuracy, robustness, and task success.
• Optimize models for production inference, balancing quality, latency, throughput, and computational efficiency against frontier-model baselines.
• Collaborate with research and platform engineering teams to transition promising prototypes into scalable, production-ready model deployments.

Skills

Python

PyTorch

ML/DL fundamentals

Model adaptation

Experimentation

Production pipelines

Independent work

Job description

micro1 is seeking a Member of Technical Staff, Model Training (applied research) to work across language models, multimodal systems, robotics, and autonomous agents. You will own the full model development lifecycle, from understanding application requirements and designing training datasets to model adaptation, evaluation, and production deployment.

Our objective is to build specialized models that match or exceed frontier models on targeted workloads while significantly improving inference