Machine Learning Engineer

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  and  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.

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.

• Python — building with PyTorch or Tensor Flow
• Hugging Face Transformers for cutting-edge NLP/LLM work
• Lang Chain or Llama Index 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 Big Query as the data warehouse
• Docker and Kubernetes for deployment, running on AWS Sage Maker or GCP Vertex AI

• 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

• 3+ years of experience building and deploying ML models in production
• Strong Python skills with hands-on PyTorch or Tensor Flow 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)

• Experience with LLMs, fine-tuning, or retrieval-augmented generation
• Experience with distributed training or large-scale data pipelines

$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.