Applied ML Engineer

Deepgram

Applied ML Engineer developing robust models for Deepgram's leading voice AI platform. Streamlining the research-to-production pipeline while collaborating with research scientists.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in optimizing machine learning models for production, with a strong foundation in software engineering and proficiency in Python. Capable of building and extending ML pipelines while collaborating effectively with research scientists.

Highest-signal resume keywords

Python ProficiencyMachine Learning Model ProductionizationDeep Learning Stack (PyTorch)ML Pipeline DevelopmentDistributed Systems and GPU Compute

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software Engineering FundamentalsMachine Learning OptimizationModel Release Gates DesignBenchmarking and ValidationModel Serving and Inference Optimization

Soft Skills

Collaborative MindsetBuilder Mentality

Industry Keywords

Research-to-Production PipelineML Tooling and AbstractionsFeedback Loop

Tech Stack

Tools & technologies

Distributed SystemsPythonPyTorch

About the role

Key responsibilities & impact

Own the research-to-production pipeline
Partner directly with research scientists to productionize new models
Build and extend the tooling and abstractions
Design and own model release gates
Optimize models and serving for production
Strengthen the build and delivery layer for models
Establish benchmarking and validation
Build the feedback loop

Requirements

What you’ll need

Strong software engineering fundamentals
Proficiency in Python
Hands-on experience taking ML models from research or prototype stage into production at scale
A working understanding of the modern deep learning stack (e.g., PyTorch)
Experience building ML pipelines and tooling
Familiarity with serving and inference optimization
Comfort operating across distributed systems and GPU compute
A collaborative, builder mindset

Benefits

Comp & perks

Offers Equity
Offers Bonus
10% Annual Bonus