About this opportunity
Golden Gate Recruiting lists this Machine Learning Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Golden Gate Recruiting is thrilled to be partnering with a fast-growing AI startup backed by Browder Capital — one of the earliest investors in breakout companies like Wander.com and Owner.com. This team is putting AI to work solving real problems for real customers, and momentum is building fast across engineering, go-to-market, and design.
THE ROLE
Our client is looking for a Machine Learning Engineer ready to build and ship the ML systems that power their core product — with real ownership spanning training and evaluation all the way through production deployment.
TECH STACK & TOOLS
Python — building with PyTorch or TensorFlow
Hugging Face Transformers for cutting-edge NLP/LLM work
LangChain or LlamaIndex to orchestrate LLMs and power RAG pipelines
Vector databases like Pinecone or Weaviate driving fast retrieval
Weights & Biases or MLflow to track experiments and version models
Airflow driving data pipelines, with Snowflake or BigQuery as the data warehouse
Docker and Kubernetes for deployment, running on AWS SageMaker or GCP Vertex AI
WHAT YOU'LL DO
Design, train, and evaluate ML models that power core product features
Build and maintain data and training pipelines built for rapid experimentation
Partner with product and infrastructure teams to ship models straight into production
Monitor model performance in production and iterate fast based on real-world feedback
Stay ahead of ML research and bring the best of it to the roadmap
WHAT WE'RE LOOKING FOR
3+ years of experience building and deploying ML models in production
Strong Python skills with hands-on PyTorch or TensorFlow experience
Solid grasp of the full ML lifecycle: data prep, training, evaluation, deployment
Thrives in a fast-moving, ambiguous startup environment
BS/MS in Computer Science, Machine Learning, or a related field (or equivalent experience)
NICE TO HAVE
Experience with LLMs, fine-tuning, or retrieval-augmented generation
Experience with distributed training or large-scale data pipelines
COMPENSATION
$155,000–$230,000 base salary + meaningful equity. Target pay generally maps to years of directly relevant experience: 3–4 years $155,000–$175,000; 5–7 years $175,000–$200,000; 8+ years $200,000–$230,000. Bands reflect 2026 early-stage startup market data (seed/Series A–B) for this role and location; final offers may vary based on the candidate's specific background.
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.