Browse more machine learning engineer jobs
Founding Engineer - Machine Learning
This role appears to be closed. Browse the similar open roles below — or let your agent watch for the next opening like it.
Salary context from live listings
Observed pay for remote machine learning engineer jobs
Among 25 openings that publish compensation, the median stated annual range is $142K–$188K USD. This uses observed listing data across 370 live jobs, never an estimated salary.
Don't apply into the void.
Most applications for this Clera role vanish into an ATS. With jobfinder-ai, your agent finds the actual hiring manager or founder behind this opening and sends a tailored email from your own inbox — so a real person reads your pitch and replies. We then follow up until you land on the calendar.
Reach the decision-maker — $5About the role
About the Role A well-funded AI/ML platform startup (Series A) based in Mountain View, CA is looking for a Founding Engineer – Machine Learning to build and scale core ML systems from the ground up. You'll join a small, high-velocity team working closely with the founders to establish technical culture, reliable ML pipelines, and measurable product impact. This is a rare opportunity to shape the architecture and direction of ML infrastructure at an early stage. What You'll Do Build and optimize end-to-end ML pipelines from data ingestion through deployment. Implement and fine-tune LLMs, embeddings, and generative models for real-world use cases. Develop efficient training and inference systems leveraging distributed compute. Partner with data and product teams to translate ideas into measurable ML outcomes. Contribute to model monitoring, evaluation, and continual learning frameworks. Establish best practices for model versioning, reproducibility, and scalability. Move quickly between experimentation and production deployments, balancing research and engineering rigor. What We're Looking For Required: 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer. Strong ML fundamentals: data preprocessing, feature engineering, model training, and optimization. Proficiency in Python and at least one deep learning framework: PyTorch, TensorFlow, or JAX. Experience with distributed training/inference and cloud ML infrastructure (AWS, GCP, or Azure). Hands-on experience building end-to-end ML pipelines from data ingestion to production deployment. Familiarity with MLOps tooling (e.g., Weights & Biases, MLflow) and model monitoring approaches. Comfortable working with large datasets and high-throughput systems. Bias for action, ability to work autonomously, and eagerness to build systems from scratch. Willingness to work onsite in Mountain View, CA. Nice to Have: Experience with vector databases and retrieval-augmented generation (RAG) workflows. Experience with continual learning, model monitoring, and evaluation frameworks. Compensation & Benefits Salary: $220,000 – $300,000 USD annually Early-stage equity commensurate with a founding engineer role Note: Visa sponsorship is not available for this position Location Onsite in Mountain View, CA . This is not a remote role.
Ready to reach the decision-maker?
Set this role as a target and your agent does the sourcing, finds the verified email, writes the pitch, and follows up — on autopilot.
Start your hunt