Senior Machine Learning Engineer

🔥 19 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 16%

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Tekmetric

WebsiteLinkedInAll Job Openings

51 - 200 employees

🚘 Automotive

🤝 B2B

💰 Venture Round on 2022-03

Automotive • B2B

Tekmetric is a management software designed specifically for auto repair shops. It enables businesses to create customer profiles, schedule appointments, perform digital vehicle inspections, upload photos, build repair orders with labor guides, manage inventory, track parts, and monitor job workflows. The software allows shops to set custom labor rates and fees, communicate with customers via texts and emails, and measure job profitability. By leveraging data, Tekmetric helps auto repair shops of all sizes enhance their efficiency, productivity, and profitability.

📋 Description

• Design and build RAG pipelines, including chunk-store schemas, Redshift-sourced population, and signal-based retrieval • Own semantic search infrastructure, including embedding pipelines, chunking, hybrid BM25/vector retrieval, and reranking • Build recommendation models end-to-end, including feature extraction, training, evaluation, and SageMaker inference • Design tool definitions, prompt assembly, and context selection for Bedrock-backed AI features • Compute and serve ML features such as historical aggregates, behavioral profiles, and engagement history • Build and maintain batch and incremental Bedrock embedding pipelines with CDC-based freshness • Build evaluation frameworks for retrieval metrics, model quality tracking, and A/B testing • Collaborate with data engineers to integrate ML models into data pipelines and expose results through search and analytics APIs

🎯 Requirements

• 4+ years in ML engineering • Experience taking models or ML features from experimentation into production • Expertise in retrieval systems, embeddings, vector similarity, ANN search, BM25, dense retrieval, chunking, reranking, and vector databases such as PGvector, FAISS, Qdrant, Weaviate, and Pinecone • Hands-on experience with RAG, tool use/function calling, prompt engineering, and context assembly • Experience with Bedrock, OpenAI, Anthropic SDK, or LangChain • Strong Python and production ML tooling experience with PyTorch, scikit-learn, Hugging Face, and XGBoost • Data engineering fundamentals, including SQL or Spark, point-in-time correctness, and feature leakage awareness • AWS ML infrastructure experience with SageMaker, Bedrock, S3, and Lambda • Workflow orchestration experience with Airflow, Prefect, or Kubeflow • Ability to build reliable scheduled ML pipelines that handle failures without manual intervention

🏖️ Benefits

• Flexible remote work • Competitive base salaries • Flexible PTO with no set number of days • Paid maternity, parental bonding, and medical leave • Medical, Dental, Vision, and Prescription coverage; employee-only plans cover 100% of premiums and family coverage costs are covered at 50% • Free confidential counseling through BetterHelp • 401(k) with 100% employer match on contributions up to 6% • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) • Life and AD&D Insurance • Up to $60/month toward fitness, mental health, or other wellness expenses • $300 home office setup bonus after one year of employment • Continuing education support • Team and company-wide offsites, with attendance fully supported

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