{"id":163696,"url":"https://alion.io/job/attentive-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":58450,"name":"Attentive","domain":"attentive.com","url":"https://alion.io/company/attentive","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":83,"open_postings":10,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":68,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":244000,"max":320000,"currency":"USD","period":"year","gross":null,"usd_annual":320000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"esbuild","optional":false},{"name":"Hugging Face","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Metaflow","optional":false},{"name":"Pandas","optional":false},{"name":"Playwright","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Radix UI","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Storybook","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vite","optional":false},{"name":"XGBoost","optional":false},{"name":"Amazon Aurora","optional":true},{"name":"Amazon EKS","optional":true},{"name":"AWS","optional":true},{"name":"Cloudflare","optional":true},{"name":"Datadog","optional":true},{"name":"DynamoDB","optional":true},{"name":"Gradle","optional":true},{"name":"GraphQL","optional":true},{"name":"Helm","optional":true},{"name":"Istio","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Kotlin","optional":true},{"name":"Kubernetes","optional":true},{"name":"PostgreSQL","optional":true},{"name":"React.js","optional":true},{"name":"Redis","optional":true},{"name":"Spring Boot","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-02-12T03:49:58Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-16T14:45:27Z","board_verified":true,"closed_at":null,"days_open":246,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":246},"description":"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.\nRecognized 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.\nWith 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!\nAbout the Role\n\nOur 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.\nYou 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.\nWhat You’ll Accomplish\nDesign, build, and operate scalable machine learning systems used in real-time targeting, decisioning, personalization systems\nOwn ML projects end-to-end, from data exploration and modeling to deployment, monitoring, and iteration\nProactively safeguard model and system quality through testing, monitoring, validation, and alerting\nCollaborate cross-functionally with product, data, and other engineering partners to translate business problems into ML solutions\nContinuously improve system reliability, performance, and engineering efficiency\nContribute to technical direction and best practices across the ML engineering team\nMentor and support other engineers through code reviews, design discussions, and knowledge sharing\nThrive in a high-impact, fast-paced, late-stage startup environment\nYour Expertise\n6+ years of professional experience building production machine-learning software systems\nProven experience owning ML systems long enough to see the downstream impact of design decisions\nStrong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or xgboost\nExperience with data processing and analytics tools such as pandas, Spark, SQL, and matplotlib\nHands-on experience building automated pipelines for data processing, model training, validation, and deployment\nExperience collaborating with cross-functional teams to deliver ML-powered features\nStrong communication skills and a high sense of ownership\nWhat We Use\nOur backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS\nOur infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm\nOur frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright\nOur 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\nYou'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.\nFor US based applicants:\nThe US base salary range for this full-time position is $244,000 - 320,000 annually + equity + benefits\n\nOur salary ranges are determined by role, level and location\nBy applying for this position, your data will be processed as per Attentive's Privacy Policy.\nAttentive Company Values\nDefault to Action - Move swiftly and with purpose\nBe One Unstoppable Team - Rally as each other’s champions\nChampion the Customer - Our success is defined by our customers' success\nAct Like an Owner - Take responsibility for Attentive’s success\nLearn more about AWAKE, Attentive’s collective of employee resource groups.\nIf 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.\nAt 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. 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