About the Role
This is a rare opportunity to join a Series A AI data and services company as a Founding ML Engineer, working directly alongside the founding team to build and scale core machine learning systems from the ground up. You will bridge research and engineering — designing, training, and shipping production-grade models for top AI frontier labs — while helping shape the company's technical culture and infrastructure.
The company specializes in high-quality training and post-training data, reinforcement learning environments, and intelligent agents that accelerate AI model performance for both frontier labs and enterprises. This is a high-ownership, high-impact role: your work will directly establish the foundation for how the team delivers measurable ML outcomes.
Visa sponsorship is not available for this role.
What You'll Do
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Build and optimize end-to-end ML pipelines, from data ingestion through to deployment.
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Implement and fine-tune LLMs, embeddings, and generative models for real-world applications.
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Develop efficient training and inference systems leveraging distributed compute.
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Partner with data and product teams to translate ideas into measurable ML impact.
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Contribute to model monitoring, evaluation, and continual learning frameworks.
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Establish best practices in model versioning, reproducibility, and scalability.
What We're Looking For
Required:
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3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer.
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Proficiency in Python and at least one major ML framework: PyTorch, TensorFlow, or JAX.
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Strong grasp of ML fundamentals — data preprocessing, feature engineering, model training, and optimization.
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Hands-on experience with distributed systems, cloud ML infrastructure (AWS, GCP, or Azure), and MLOps tooling such as Weights & Biases or MLflow.
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Comfort working with large datasets and high-throughput systems.
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Strong bias for action, ability to work autonomously, and genuine eagerness to build something from scratch.
Compensation & Benefits
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Salary range: $220,000 – $300,000 USD annually
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Early-stage equity commensurate with a founding team role
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Opportunity to define technical culture and ML infrastructure at the ground level
Location
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On-site in Mountain View, California, United States
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Remote work is not available for this position
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