# Senior Machine Learning Engineer

**Company:** [Attentive](https://hotfix.jobs/companies/attentive)
**Location:** San Francisco, CA, New York, NY
**Role:** ML Engineering
**Salary:** $244k – $320k/yr
**Experience:** 6+ years
**Skills:** Python, PyTorch, TensorFlow, Xgboost, pandas, Spark, SQL, Kubernetes, Metaflow, Hugging Face
**Posted:** 2026-02-13

> Builds and operates scalable production ML systems for real-time personalization and targeting. Requires 6+ years experience with Python, PyTorch/TensorFlow, data pipelines, and cross-functional collaboration.

## Job Description

## What You’ll Accomplish
- Design, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems
- Own ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration
- Proactively safeguard model and system quality through testing, monitoring, validation, and alerting
- Collaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions
- Continuously improve system reliability, performance, and engineering efficiency
- Contribute to technical direction and best practices across the ML engineering team
- Mentor and support other engineers through code reviews, design discussions, and knowledge sharing
- Thrive in a high-impact, fast-paced, late-stage startup environment

## Your Expertise
- 6+ years of professional experience building production machine-learning software systems
- Proven experience owning ML systems long enough to see the downstream impact of design decisions
- Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost
- Experience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib
- Hands-on experience building automated pipelines for data processing, model training, validation, and deployment
- Experience collaborating with cross-functional teams to deliver ML-powered features
- Strong communication skills and a high sense of ownership

## What We Use
- **Infrastructure**: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm
- **Backend**: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis
- **Frontend**: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, Playwright
- **ML & Data**: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Pandas

**Compensation (US base salary)**: $244,000 - $320,000 annually + equity + benefits

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**Apply:** https://hotfix.jobs/jobs/6ef84275-7cb9-42d7-b29f-cdcbe24624e0
**Canonical:** https://hotfix.jobs/jobs/6ef84275-7cb9-42d7-b29f-cdcbe24624e0