Principal Software Engineer, Machine Learning
Join Attentive as a Principal Software Engineer to build and scale ML systems for personalized marketing experiences.
Posted by employer 2 days ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Build production-grade ML systems
- Scale ML systems
- Operate ML systems
- Collaborate with Product and Engineering
- Raise the technical bar across ML systems
Must have
- 10+ years experience in building systems
- Experience with TensorFlow/PyTorch, xgboost, pandas, matplotlib, SQL, Spark
- Proficiency or experience with Python
- Experience using machine learning and data analysis
- Proven track record of building scalable, efficient, automated processes
Nice to have
- Experience leading cross-functional machine learning projects
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: work arrangement, visa sponsorship.
Benefits
Joblaze summary
In this role, the Principal Software Engineer for Machine Learning at Attentive Mobile is responsible for designing, building, and maintaining production-grade machine learning systems that enhance real-time personalization across the platform. The position requires expertise in tools like TensorFlow, PyTorch, and Python, along with a strong background in scalable system development and data analysis. Ideal candidates will have over a decade of experience and a proven ability to lead cross-functional projects in a fast-paced startup environment. Attentive's culture emphasizes collaboration and high-quality output, making it suitable for seasoned professionals looking to make a significant im
Joblaze insights
- Listed yesterday — first seen on Joblaze September 19, 2026. Last confirmed on Attentive Mobile's careers page September 19, 2026.
- This exact title is also open at 1 other location at Attentive Mobile: New York, NY, United States.
- Salary band is above the typical range for AI/ML roles (median ~$188,000).
- Starts above 88% of 17 comparable principal ai/ml roles in United States that list Python we track (median $220,000 across 11 companies). See Python salary trends
- Python appears in 45.6% of 57 comparable principal ai/ml roles in United States; Airflow appears in 1.8% of 57 comparable principal ai/ml roles in United States.
Quick facts
- What's the salary range?
- Attentive Mobile lists $350,000–$430,000 for this role.
- How much experience is required?
- At least 10 years of relevant experience for this Principal Software Engineer, Machine Learning role.
- 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 principal-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Principal Software Engineer, Machine Learning role at Attentive Mobile.
From the original posting
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 10+ 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
For US based applicants:
- The US base salary range for this full-time position is $350,000 - $430,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
#LI-EZ-1
Standard company text repeated across Attentive Mobile's postings is omitted here.