Senior ML Engineer

TextUs

Senior ML Engineer developing AI solutions using ML platforms at TextUs. Collaborating on AI features in a hybrid work environment headquartered in Denver, CO.

Posted 6/8/2026full-timeDenver • Colorado • 🇺🇸 United StatesSenior💰 $180,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPythonRubyRuby on Rails

About the role

Key responsibilities & impact

We're moving from a product where AI is a feature you can turn on to one where it's a layer that runs through everything: response suggestions, abuse detection, summarization, lead scoring, intent classification.
You own the ML and AI engineering layer end to end.
Model registry, feature pipelines, and deployment pathways that any engineer in the org can use.
Evaluation infrastructure that catches regressions before they hit prod, not after.
Drift detection, online evals, cost and latency monitoring.
Rollback and progressive rollout patterns built for ML systems, not retrofitted from generic CD.
Build-vs-buy calls. Know when a frontier API is the right answer, when a managed service is fine, when to fine-tune, and when a regex would have done the job.

Requirements

What you’ll need

6+ years of engineering experience with at least 3 years focused on ML platform, ML Ops, or applied ML in production
You've been on call for models. You know what breaks and how to design so it breaks less.
Strong applied LLM experience. You have opinions on eval, RAG, prompt engineering, and where each fails. You can tell the difference between a demo and a production system.
Comfortable in Python across the modern ML stack. Comfortable enough in Ruby on Rails to integrate with our product.
Cloud-native infrastructure depth (AWS preferred). Containers, IaC, the boring parts of running production systems.
Track record of good build-vs-buy decisions. You've said no to building something more often than you've said yes.
Clear communicator. You can explain a model's behavior to a PM and an inference pipeline to a backend engineer in the same afternoon.
Bonus:
Real fine-tuning experience on open models, end-to-end through production
Experience with conversational AI, NLP, or messaging products
Familiarity with PII handling and data governance for ML systems
Background in a smaller engineering org where you wore multiple hats

Benefits

Comp & perks

Competitive pay
Health / Dental / Vision Insurance
HSA contributions
401K with company match
Unlimited PTO
Cell phone + internet reimbursement for $100/month.
One-time $1,000 home office stipend once you’ve been with TextUs for 6 months
Up to 12 weeks of Parental Leave
12 holidays + EOY Closure
U.S. remote first with optional WeWork office space in downtown Denver, CO

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Hard Skills & Tools

machine learningML Opsapplied MLLLMprompt engineeringPythonRuby on Railscloud-native infrastructurecontainersinfrastructure as code (IaC)

Soft Skills

clear communicationproblem-solvingdecision-makingcollaborationdesign for reliability