Staff Machine Learning Engineer

San Francisco, CA

Attentive

Attentive is the most comprehensive personalized text messaging solution. 99% open rates, 30%+ click-through rates, and 25x+ ROI.

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About Attentive: 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, GUESS, Urban Outfitters, and Pura Vida, Attentive is the go-to solution for delivering powerful commerce experiences for consumers with the brands they love.
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!
Who we are
Our engineering department consists of 200+ people across multiple teams, such as application development, infrastructure, data platform, machine learning, and security. We believe our company will win in the long run through product innovation. To get there, we obsess over iteratively delivering customer value through rapid prototyping and data-driven decision-making. 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.

Why Attentive needs you:

  • 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

About you:

  • 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 PythonYou 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

Our scale:

  • 8,000 brands powered by Attentive sent over 2.2 billion text messages over Cyber Week 2023 (Black Friday/Cyber Monday) representing a growth of 31% from 2022
  • We sent 32 billion SMS messages in 2023, up 32% YoY. That’s an average of 87 million per day
  • Our production cluster contains over 18,000 containers which serve 200+ services
  • Our streaming services process over 80 billion events per month

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 PlaywrightOur 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 $203,000 - $290,000 annually + equity + benefits- Our salary ranges are determined by role, level and location
#LI-EF1
Attentive Company ValuesDefault to Action - Move swiftly and with purposeBe One Unstoppable Team - Rally as each other’s championsChampion the Customer - Our success is defined by our customers' successAct 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.

Tags: Airflow AWS Data analysis DynamoDB Engineering GraphQL Helm HuggingFace Java Kinesis Kubernetes Machine Learning Matplotlib Microservices ML models Open Source Pandas PostgreSQL Prototyping Python PyTorch React Research Security Spark SQL Streaming TensorFlow Terraform Testing TypeScript XGBoost

Perks/benefits: Career development Competitive pay Equity Health care Startup environment Team events

Region: North America
Country: United States
Job stats:  7  0  0

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