Machine Learning Engineer

About the role

ABOUT THE OPPORTUNITY

Golden Gate Recruiting is helping recruit for a fast-growing AI startup backed by Browder Capital — one of the earliest investors in companies like Wander.com and Owner.com. The team is applying AI to solve real problems for its customers and is now scaling across engineering, go-to-market, and design. The company name is being kept confidential during this search; details are shared with candidates as the process progresses.

THE ROLE

Our client is looking for a Machine Learning Engineer to help build and ship the ML systems that power its core product — from training and evaluation to production deployment.

TECH STACK & TOOLS

Python, with PyTorch or TensorFlow for model development

Hugging Face Transformers for NLP/LLM work

LangChain or LlamaIndex for LLM orchestration and RAG pipelines

Vector databases such as Pinecone or Weaviate

Weights & Biases or MLflow for experiment tracking and model versioning

Airflow for data pipelines; Snowflake or BigQuery for the data warehouse

Docker and Kubernetes, deployed on AWS SageMaker or GCP Vertex AI

WHAT YOU'LL DO

Design, train, and evaluate ML models for core product features

Build and maintain data and training pipelines for rapid experimentation

Partner with product and infrastructure teams to deploy models into production

Monitor model performance in production and iterate based on real-world feedback

Stay current with ML research and evaluate its applicability to the roadmap

WHAT WE'RE LOOKING FOR

3+ years of experience building and deploying ML models in production

Strong Python skills and experience with PyTorch or TensorFlow

Solid understanding of the ML lifecycle: data prep, training, evaluation, deployment

Comfortable operating 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.

HOW TO APPLY

Easy Apply on this post.