Staff Software Engineer, Machine Learning
Join Attentive as a Staff Software Engineer to build and scale ML systems for personalized marketing experiences.
Posted by employer 4 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, lots of data and built with Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas.
Requirements
- Experience
- 10+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Staff Software Engineer for Machine Learning at Attentive Mobile will focus on developing and maintaining production-grade machine learning systems that enhance real-time personalization for a vast customer base. The position requires expertise in tools like TensorFlow, PyTorch, and Python, along with a strong background in building scalable data-driven products. Ideal candidates will have over a decade of experience and a collaborative mindset, suited for a fast-paced, late-stage startup environment. Attentive's culture emphasizes teamwork and customer success, making it a dynamic place for technical leaders.
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).
- 6517 active Python roles on Joblaze right now.
- 2727 active AWS roles on Joblaze right now.
- 2566 active Kubernetes roles on Joblaze right now.
- Salary band is above the typical range for AI/ML roles (median ~$188,000).
- Pays more than 97% of the 3224 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Staff Software Engineer, Machine Learning role remote?
- It's hybrid — Attentive Mobile expects some on-site time in United States.
- What's the salary range?
- Attentive Mobile lists $320,000–$360,000 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Staff Software Engineer, Machine Learning role.
- Where is the role based?
- Attentive Mobile is hiring for this position in United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Airflow, DynamoDB, Gradle, GraphQL, HuggingFace.
- What seniority level is this role?
- Attentive Mobile targets staff-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Staff Software Engineer, Machine Learning 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
- You have a proven track record of building systems that maintain a high bar of quality
- You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques
- You are a collaborator, technical leader, and a great communicator
- You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes
- You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup
- 10+ years experience is ideal
Your Expertise
- You have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisions
- Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools
- You have proficiency or experience with Python
- You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams
- You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research
- You have led cross-functional machine learning projects across teams
What We Use
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
- Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
- Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS
- 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, lots of data and built with 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 $320,000 - $360,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
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