Senior Machine Learning Engineer
Build and scale web scrapers and data pipelines in Python to extract, clean, and index auto-repair data for search using Elasticsearch, Spark, and AWS.
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Ml / AI
- Posted
Skills
Nice to have
- Fine-tuning or PEFT — experience adapting embedding or generative models to a domain-specific corpus.
- Graph databases — Apache AGE, Neo4j, or similar; understanding how graph traversal complements vector similarity for multi-hop relationship queries.
- Streaming and CDC — Kinesis, Kafka, or Debezium; keeping a vector store or feature store current with a live operational database.
- Recommendation systems — collaborative filtering, two-tower models, or contextual bandits in a production setting.
- Domain experience in operational data — automotive, field service, logistics, healthcare; any domain where records are sparse, the vocabulary is specialized, and keyword search reliably fails.
Full description
About Tekmetric
Tekmetric is the all-in-one, cloud-based software helping auto repair shops run smarter, grow faster, and serve customers better.
Built by a shop owner and shaped by the needs of the industry, Tekmetric brings together innovation, real-world experience, and a thriving community to help shops thrive - not just survive. From running a shop, to securing payments to engaging customers, our platform simplifies operations so shop owners can focus on what really matters: delivering exceptional service, earning trust, and growing sustainably.
Officially founded in Houston in 2017, Tekmetric has grown from a single shop’s vision to the industry’s leading solution - all by staying true to our values of transparency, integrity, innovation, and a service-first mindset.
But we’re not just building shop management software. We’re building a movement. We’re empowering repair shops to rise above the daily grind, create meaningful connections with their customers, and lead the industry forward - one interaction at a time.
Come build with us. Join the journey. Shape the future of auto repair.
Working the Tekmetric Way
At Tekmetric, we’re building a culture where winning matters - not for ego, but because when our customers win, we win together.
We move fast, stay curious, and take full ownership of our results — no excuses, no finger-pointing. If you thrive in ambiguity, take initiative, and view honest feedback as fuel for growth, you’ll feel right at home here.
We’re direct but respectful, ambitious yet grounded, and collaborative at every level. Everyone leads through impact and is encouraged to speak up, share ideas, and challenge assumptions (even your manager’s). This is a place for builders, not bystanders.
Success here takes focus, follow-through, and a willingness to roll up your sleeves — but if you’re driven by meaningful work and real results, it’s deeply rewarding. You’ll join a team that cares about the work, supports one another, and takes smart risks to achieve bold goals. Be yourself, stay mission-focused, and you’ll thrive. If that energizes you, we can’t wait to meet you.
Where We Work: At Tekmetric, great work happens anywhere, but great teams are built through intentional connection. We offer hybrid and remote work models based on your proximity to our office hubs. Because we value in-person collaboration, travel is an expected part of every role. We come together several times a year for team and company-wide offsites to align on goals and strengthen relationships. Attendance at these events is expected and fully supported.
What You’ll Do Tekmetric sits on a decade of granular operational data from thousands of automotive repair shops — millions of operational records spanning customer history, service patterns, and technician activity. We are building the ML layer on top of it: retrieval systems, recommendation models, embedding infrastructure, and the LLM integration layer that makes AI features feel native to the product workflow. This is a systems role for someone who builds production AI seriously.