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Staff Machine Learning Engineer (San Francisco)

Staff Machine Learning Engineer (San Francisco)

AttentiveSan Francisco, CA, US
3 days ago
Job type
  • Full-time
  • Part-time
Job description

Staff Machine Learning Engineer

Attentive is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1 : 1 messages that truly resonate.

With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries.

Attentive's growth has been recognized by Deloitte's Fast 500, Linkedin's Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!

About The Role

Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. We build advanced ML models that predict customer behaviors in real-time, enabling highly personalized shopping experiences. Joining our team offers a high-growth career opportunity to work with some of the world's most talented machine learning engineers in a high-performance and high-impact culture.

We are seeking a self-driven and highly motivated Machine Learning Engineer to join our growing machine learning teams. As an early hire, you will contribute to the development of machine learning models and infrastructure needs across the Attentive platform and work with Product Management and Engineering to implement end-to-end modeling use cases.

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 $288,000 - $330,000 annually + equity + benefits
  • Equity is a substantial part of the total compensation package
  • Our salary ranges are determined by role, level and location

    • #LI-EF1

    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 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.

    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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    Staff Machine Learning Engineer • San Francisco, CA, US