Staff Software Engineer, Machine Learning

Posted Yesterday
Hiring Remotely in United States
Remote
320K-360K Annually
Expert/Leader
Artificial Intelligence • Marketing Tech • Mobile • Software
Attentive is the AI marketing platform for leading brands.
The Role
The Staff Software Engineer will build and scale machine learning systems for personalization, collaborating with teams to enhance project quality and performance.
Summary Generated by Built In
Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights.
 
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.
 
With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index!

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

  • 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

#LI-EF1

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.
 
If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.
 
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. 

Skills Required

  • 10+ years of experience
  • 6+ years building systems professionally
  • Experience with TensorFlow/PyTorch, xgboost, pandas, or similar
  • Proficiency in Python
  • Experience with machine learning and data analysis
  • Experience leading cross-functional machine learning projects

Attentive Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Attentive and has not been reviewed or approved by Attentive.

  • Healthcare Strength Health coverage includes comprehensive medical, dental, and vision plans, plus a fully covered One Medical membership and mental health resources. Employer-paid options and added wellness stipends indicate strong support for physical and mental wellbeing.
  • Equity Value & Accessibility Equity grants are described as significant and a meaningful component of total compensation. Market-value cash pay paired with stock helps position overall packages as competitive.
  • Parental & Family Support Generous paid parental leave, fertility and family-forming benefits, and supports such as Milk Stork and travel reimbursement for necessary medical care are offered. These provisions signal robust support for families across different needs.

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The Company
HQ: New York, NY
1,000 Employees
Year Founded: 2016

What We Do

Attentive® is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer’s purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leveraging AI-powered tools, a mobile-first approach, two-way conversations, and enterprise-grade technology, Attentive drives billions in online revenue for brands around the globe. Trusted by over 8,000 leading brands such as CB2, Urban Outfitters, GUESS, Dickey’s Barbeque Pit, and Wyndham Resort, Attentive is the go-to solution for delivering powerful commerce experiences for consumers with the brands they love. To learn more about Attentive or to request a demo, visit www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.

Why Work With Us

At Attentive, you'll connect with inspiring, high-caliber people, and be encouraged to take risks, get creative, and think bigger. We're solving big problems for our customers, through our innovative AI solutions, giving employees the opportunity to thrive along the journey. The sky's the limit when it comes to what's possible.

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