Senior Machine Learning Engineer
MetaProp.vc
- New York, New York, United States
- New York, New York, United States
About
Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers.
About the Role Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production‑grade ML systems that drive real‑time personalization across the Attentive platform.
You will operate with a high degree of ownership, partner closely with Product and Engineering, and help raise the technical bar across our ML systems in a fast‑paced, high‑impact environment.
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, Panda
You’ll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
For US based applicants
The US base salary range for this full‑time position is $244,000 - 320,000 annually + equity + benefits
Our salary ranges are determined by role, level and location
By applying for this position, your data will be processed as per Attentive's Privacy Policy.
Attentive Company Values
Default to Action - Move swiftly and with purpose
Be One Unstoppable Team - Rally as each other’s champions
Champion the Customer - Our success is defined by our customers' success
Act Like an Owner - Take responsibility for Attentive’s success
Learn more about AWAKE, Attentive’s collective of employee resource groups.
At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.
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Languages
- English
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