Lead the development of advanced machine learning models and systems, architect scalable solutions, mentor engineers, and drive improvement initiatives for product performance and innovation.
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!), and Inc.’s Best Workplaces.
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
- Define the long-term technical vision for machine learning systems at Attentive, setting the standard for quality, scalability, and innovation
- Architect and build production-grade ML systems that deliver personalization at scale and in real time
- Lead cross-functional initiatives across ML, data, and engineering teams to accelerate the deployment and reliability of ML-powered features
- Proactively safeguard model and system quality by implementing rigorous testing, monitoring, and validation pipeline
- Champion best practices in ML development, driving improvements to model performance, system resilience, and engineering efficiency
- Act as a mentor and thought leader - guiding engineers, influencing architecture decisions, and advocating for long-term technical excellence
- Thrive in a high-impact, fast-paced environment, influencing both technical direction and product outcomes
Your Expertise
- Proven experience building and maintaining large-scale ML systems in production environments
- Deep proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, and xgboost
- Strong background with data processing and analytics tools including pandas, Spark, SQL, and matplotlib
- Expertise in designing scalable, automated pipelines for data processing, model training, validation, and deployment
- Experience leading cross-functional ML projects, collaborating with engineering, product, and analytics teams
- Strong communication and leadership skills with the ability to influence technical direction across teams
What We Use
- Infrastructure: Kubernetes (AWS EKS), Istio, Datadog, Terraform, Cloudflare, Helm
- Backend: Java / Spring Boot microservices (Gradle), DynamoDB, Kinesis, Airflow, Postgres, PlanetScale, Redis
- Frontend: React, TypeScript, GraphQL, Storybook, Radix UI, Vite, esbuild, Playwright
- ML & Data: Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, Panda
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 $315,000 - 420,000 annually + equity + benefits
- 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 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.
Top Skills
Airflow
Aws Eks
Cloudflare
Datadog
DynamoDB
Esbuild
GraphQL
Helm
Huggingface
Istio
Java
Kinesis
Kubernetes
Matplotlib
Metaflow
Pandas
Planetscale
Playwright
Postgres
Python
PyTorch
Radix Ui
React
Redis
Spark
Spring Boot
SQL
Storybook
TensorFlow
Terraform
Typescript
Vite
Xgboost
Attentive San Francisco, California, USA Office
114 Sansome Street, San Francisco, CA, United States, 94104
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role focuses on building cloud-based AI/ML solutions, leading technical directions, ensuring product security, and complying with AI regulations, while collaborating with various teams.
Top Skills:
AIGoKubernetesMlPython
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.
Top Skills:
CudaPythonPyTorchScikit-LearnTensorFlowXgboost
Software • Defense
Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.
Top Skills:
AIData GovernanceInformation RetrievalLlmMlNatural Language Processing
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
