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Senior Machine Learning Engineer
Job Location:
Job Location:
San Francisco, CA - USA
Yearly Salary:
$ 244000 - 320000
Yearly Salary:
Posted:
13 July 2026 (30+ days ago)
Posted:
Application Deadline:
19 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Attentive is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. Were 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#1provider in SMS Marketing by G2 Attentive partners with more than 8000 customers across 70 industries. Leading global brands like Crate and Barrel Urban Outfitters and Carters 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 Attentives team has been consistently recognized for its performance and culture. Were proud to be included inDeloittes Fast 500(four years running!)LinkedIns Top StartupsForbes Cloud 100 (five years running!)Inc.s Best Workplaces and theHuman Rights Campaign Foundations 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 Youll Accomplish
- Design build and operate scalable machine learning systems used in real-time targeting decisioning personalization systems
- Own ML projects end-to-end from data exploration and modeling to deployment monitoring and iteration
- Proactively safeguard model and system quality through testing monitoring validation and alerting
- Collaborate cross-functionally with product data and other engineering partners to translate business problems into ML solutions
- Continuously improve system reliability performance and engineering efficiency
- Contribute to technical direction and best practices across the ML engineering team
- Mentor and support other engineers through code reviews design discussions and knowledge sharing
- Thrive in a high-impact fast-paced late-stage startup environment
Your Expertise
- 6 years of professional experience building production machine-learning software systems
- Proven experience owning ML systems long enough to see the downstream impact of design decisions
- Strong proficiency in Python and experience with ML frameworks such as PyTorch TensorFlow or xgboost
- Experience with data processing and analytics tools such as pandas Spark SQL and matplotlib
- Hands-on experience building automated pipelines for data processing model training validation and deployment
- Experience collaborating with cross-functional teams to deliver ML-powered features
- Strong communication skills and a high sense of ownership
What We Use
- Our backend is Java / Kotlin / Spring Boot microservices built with Gradle coupled with things like DynamoDB Aurora AirFlow Postgres and Redis hosted via AWS
- Our infrastructure runs primarily in Kubernetes hosted in AWSs EKS using tooling like Istio Datadog Terraform CloudFlare and Helm
- 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 industry-leading LLMs lots of data and tech like Python Metaflow HuggingFace PyTorch TensorFlow and Pandas
Youll get competitiveperks 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 $244000 - 320000 annually equity benefits
- Our salary ranges are determined by role level and location
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By applying for this position your data will be processed as per Attentives Privacy Policy.
Attentive Company Values
Default to Action - Move swiftly and with purpose
Be One Unstoppable Team - Rally as each others champions
Champion the Customer - Our success is defined by our customers success
Act Like an Owner- Take responsibility for Attentives success
Learn more about AWAKE Attentives 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 Companys 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.
Required Experience:
Senior IC
About Company
Discover how Attentive uses AI to enhance SMS and email marketing for personalized and effective customer engagement.
