Machine Learning Engineer

Co-Founder @ Passive | Helping great people quietly discover great work | DFW-ZAG

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About the role

We’re looking for a

Machine Learning Engineer

who can turn data into intelligent matching experiences. You’ll work directly with our CTO (ex‑Amazon, AI / NLP) to build, train, and deploy models that personalize job recommendations, tailor resumes, and make the hiring experience feel effortless for millions of users.

This is an opportunity to own core ML systems from 0→1 in a fast‑moving product that blends AI, recruiting, and consumer experience.

What you’ll do

Design, train, and deploy ML models that power Passive’s recommendation and matching engine.

Build systems for

semantic job matching ,

AI resume tailoring , and

user intent prediction .

Experiment with NLP, LLMs, and embeddings to extract meaningful signals from resumes and job descriptions.

Collaborate with backend engineers to productionize models and integrate APIs at scale.

Continuously improve accuracy, personalization, and relevance through feedback loops.

Analyze performance metrics and user data to optimize results.

Contribute to the AI roadmap and research direction alongside leadership.

You’ll thrive here if you

Have

3–6 years

of experience in ML, NLP, or data science (Python‑based stack).

Are comfortable building and deploying models in

PyTorch

or

TensorFlow .

Have experience with

LLMs ,

transformers , or

vector embeddings

(OpenAI, Hugging Face, etc.).

Are familiar with

retrieval‑augmented generation (RAG) ,

semantic search , or

recommendation systems .

Know how to ship — not just research. You care about results, latency, and UX impact.

Enjoy working in startups where you can move fast, experiment, and own major pieces of the product.

Care deeply about user experience — you want your models to make people’s lives easier.

Prior work on consumer products or career / recruitment platforms.

Experience with

AWS Sagemaker ,

Vertex AI , or

LangChain .

Background in

data engineering ,

vector databases , or

feature pipelines .

Familiarity with analytics tools (Mixpanel, GA4, Amplitude).

Open‑source contributions or personal ML projects you’re proud of.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Industries

Technology, Information and Internet

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