Senior Machine Learning Engineer
Join Attentive as a Senior Machine Learning Engineer to build and scale ML systems for real-time personalization in a dynamic startup environment.
Posted by employer 7 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python.
Requirements
- Experience
- 6+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Machine Learning Engineer at Attentive Mobile, the individual will design, build, and maintain scalable machine learning systems that enhance real-time personalization for a vast customer base. Proficiency in Python and experience with frameworks like PyTorch and TensorFlow are essential, alongside a strong background in data processing and analytics. This position is ideal for seasoned professionals with a track record of owning ML projects and collaborating across teams in a dynamic startup environment. Attentive's focus on innovation and customer success underscores the importance of technical excellence and teamwork.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Attentive Mobile's career page.
- Attentive Mobile has 37 other open roles including Senior Manager, Editorial and Strategic Communications , Software Engineer II, Integrations, Enterprise Account Executive, UK (Hybrid).
- 6527 active Python roles on Joblaze right now.
- 2727 active AWS roles on Joblaze right now.
- 2568 active Kubernetes roles on Joblaze right now.
- Salary band is above the typical range for AI/ML roles (median ~$188,000).
- Pays more than 93% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Senior Machine Learning Engineer role remote?
- It's hybrid — Attentive Mobile expects some on-site time in New York, NY.
- What's the salary range?
- Attentive Mobile lists $244,000–$320,000 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Senior Machine Learning Engineer role.
- Where is the role based?
- Attentive Mobile is hiring for this position in New York, NY.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Airflow, Aurora, CloudFlare, Datadog, DynamoDB.
- What seniority level is this role?
- Attentive Mobile targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Machine Learning Engineer role at Attentive Mobile.
From the original posting
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.
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
- Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
- Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas
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
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