Machine Learning Engineer
Golden Gate Recruiting · San Francisco, CA
قدّم وتابع مع أبلاي إيدجABOUT THE OPPORTUNITYGolden 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 ROLEOur 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 & TOOLSPython — building with PyTorch or TensorFlowHugging Face Transformers for cutting-edge NLP/LLM workLangChain or LlamaIndex to orchestrate LLMs and power RAG pipelinesVector databases like Pinecone or Weaviate driving fast retrievalWeights & Biases or MLflow to track experiments and version modelsAirflow driving data pipelines, with Snowflake or BigQuery as the data warehouseDocker and Kubernetes for deployment, running on AWS SageMaker or GCP Vertex AIWHAT YOU'LL DODesign, train, and evaluate ML models that power core product featuresBuild and maintain data and training pipelines built for rapid experimentationPartner with product and infrastructure teams to ship models straight into productionMonitor model performance in production and iterate fast based on real-world feedbackStay ahead of ML research and bring the best of it to the roadmapWHAT WE'RE LOOKING FOR3+ years of experience building and deploying ML models in productionStrong Python skills with hands-on PyTorch or TensorFlow experienceSolid grasp of the full ML lifecycle: data prep, training, evaluation, deploymentThrives in a fast-moving, ambiguous startup environmentBS/MS in Computer Science, Machine Learning, or a related field (or equivalent experience)NICE TO HAVEExperience with LLMs, fine-tuning, or retrieval-augmented generationExperience with distributed training or large-scale data pipelinesCOMPENSATION$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 APPLYEasy Apply on this post.No sponsorship/Visa transfer available.