RemNavi

Remote position

Founding Machine Learning Engineer

at Clera

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● Posted today remote $220,000 – $300,000 Data

Real Remote Score

63/100

Solid

Comp
25/25
Location
10/25
Source
5/15
Clarity
3/15
Freshness
20/20
Why this score?
  • Compensation · Full salary range disclosed 25/25
  • Location · Plain "Remote", no further detail 10/25
  • Source · Generic aggregator 5/15
  • Role clarity · Neither seniority nor stack in title 3/15
  • Freshness · Posted today 20/20

How the Real Remote Score is calculated → · Score appeals & corrections

Salary in context

About 7% above median for Data/ML

Listing floor: $220,000 · Role median across 105 peers: $205,000 · 25th–75th: $160,000–$245,000

Numbers refresh from the live corpus. Compare the full distribution at /tools/salary-index/ or run a city PPP adjustment at /tools/salary-calculator/.

About this role

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

  • Build and optimize end-to-end ML pipelines, from data ingestion through to deployment.

  • Implement and fine-tune LLMs, embeddings, and generative models for real-world applications.

  • Develop efficient training and inference systems leveraging distributed compute.

  • Partner with data and product teams to translate ideas into measurable ML impact.

  • Contribute to model monitoring, evaluation, and continual learning frameworks.

  • Establish best practices in model versioning, reproducibility, and scalability.

What We're Looking For

Required:

  • 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer.

  • Proficiency in Python and at least one major ML framework: PyTorch, TensorFlow, or JAX.

  • Strong grasp of ML fundamentals — data preprocessing, feature engineering, model training, and optimization.

  • Hands-on experience with distributed systems and cloud ML infrastructure (AWS, GCP, or Azure).

  • Familiarity with MLOps tooling such as Weights & Biases or MLflow.

  • Comfort working with large datasets and high-throughput systems.

  • Strong bias for action, ability to work autonomously, and genuine excitement about building from scratch.

Compensation & Benefits

  • Base salary: $220,000 – $300,000 USD annually

  • Equity participation as a founding team member

  • Opportunity to establish technical direction and culture at an early-stage, high-growth company

Location

  • On-site — Mountain View, California, United States

  • Visa sponsorship is not available for this position

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