About the Role
This is a founding-level Machine Learning Engineer role at a well-funded Series A AI data and services startup based in Mountain View, CA. You will join a small, high-caliber team building and scaling core ML systems from the ground up — bridging research and engineering to design, train, and ship production-grade models for top AI frontier labs. This is a high-ownership position where your work directly shapes the company's technical culture, infrastructure, and long-term ML impact.
The company specializes in high-quality training and post-training data, reinforcement learning environments, and intelligent agents — serving both frontier AI labs and enterprise customers. 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 and cloud ML infrastructure (AWS, GCP, or Azure).
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Familiarity with 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 excitement about building from scratch.
Compensation & Benefits
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Base salary: $220,000 – $300,000 USD annually
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Equity participation as a founding team member
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Opportunity to establish technical direction and culture at an early-stage, high-growth company
Location
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On-site — Mountain View, California, United States
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Visa sponsorship is not available for this position
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