{"id":764568,"url":"https://alion.io/job/chime-senior-software-engineer-machine-learning-platform-2","title":"Senior Software Engineer, Machine Learning Platform","company":{"id":3966,"name":"Chime","domain":"chime.com","url":"https://alion.io/company/chime","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":55,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":187000,"max":259000,"currency":"USD","period":"year","gross":null,"usd_annual":259000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"Function Calling","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Ray","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"CUDA","optional":true}],"status":"live","first_seen_at":"2026-09-11T17:04:27Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-31T09:53:13Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"About the role \nChime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently.\nAs a Senior Software Engineer on the Machine Learning Platform team, you will design and build scalable systems spanning traditional machine learning and emerging AI workloads, including model training, feature computation, real-time inference, foundation-model access, evaluation, and agentic orchestration. You’ll work at the intersection of distributed systems, cloud infrastructure, applied machine learning, and AI product engineering.\nThis role focuses on creating secure, reliable, and reusable platform capabilities that help teams choose the right approach, from conventional predictive models to LLM-powered and multi-step agentic systems, while maintaining strong standards for evaluation, observability, governance, privacy, and cost efficiency.\nIn this role, you can expect to\nDesign, build, and operate scalable ML and AI infrastructure on AWS.\nDesign and operate shared platform capabilities for LLM and agentic workloads, including model access, prompt and configuration lifecycle, retrieval, tool integration, state management, and workflow orchestration.\nBuild evaluation frameworks for non-deterministic AI systems, including offline benchmarks, regression testing, online quality signals, human feedback, and failure analysis.\nEstablish observability, reliability, and governance for models and agents, covering traces, model and prompt versions, tool calls, latency, token usage, quality, safety, privacy, and cost.\nHelp teams make principled architecture decisions across traditional ML, LLM-powered applications, and agentic workflows, and contribute to the platform’s technical roadmap.\nBuild distributed training, batch inference, and large-scale processing systems using frameworks such as Ray or Spark.\nBuild and maintain infrastructure as code using Terraform.\nSupport and evolve the feature store and feature pipelines.\nDevelop data ingestion and streaming systems using technologies such as Kinesis, Kafka, Flink, or Spark.\nImprove CI/CD workflows for ML models, AI applications, and platform components.\nPartner closely with Data Science and ML Engineering teams to improve developer experience.\nParticipate in on-call rotations to support production systems.\nTo thrive in this role, you have\nKnowledge of the machine learning development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring.\nExperience designing distributed systems and large-scale data or compute platforms on AWS using frameworks such as Spark or Ray.\n5+ years of experience in ML or AI infrastructure, platform engineering, distributed systems, or production ML systems.\nWorking knowledge of LLM application patterns such as retrieval-augmented generation, structured outputs, tool calling, agent orchestration, and evaluation of non-deterministic systems.\nExperience designing production systems that integrate ML or foundation models through reliable APIs, workflows, and data contracts.\nHands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code.\nExperience with containerization and orchestration technologies such as Docker and Kubernetes.\nStrong programming skills in Python, Go, Scala, Java, or similar languages.\nSolid understanding of software engineering fundamentals, including testing, version control, code review, and observability.\nNice-to-have\nExperience shipping LLM-powered or agentic systems to production.\nExperience with one or more of the following: model gateways, prompt lifecycle management, retrieval or vector search, tool execution, and agent orchestration frameworks.\nExperience building evaluation, tracing, and observability capabilities for non-deterministic AI systems.\nFamiliarity with managed or self-hosted foundation model infrastructure, such as Amazon Bedrock, SageMaker, or equivalent platforms.\nExperience operating GPU-based workloads and optimizing training or inference performance and cost; CUDA experience is a plus.\n#LI-Onsite #LI-WW1\nBelow is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.\nWage Notice\n$187,000—$259,000 USD\nA little about us\nAt Chime, we believe that everyone can achieve financial progress. We created Chime-a financial technology company, not a bank*-on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.\nWe're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.\nWe believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. \nWe know that to achieve our mission, we must earn and keep people's trust-so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall-our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.\nBecause if we don't-who will?\n*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.\nWhat we offer for our full-time, regular employees\n Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.\n Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.\n Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.\n Generous vacation policy and company-wide paid days off\n 1% of your time off to support local community organizations of your choice\n Annual wellness stipend to use towards eligible wellness related expenses\n Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents\n Access to family planning reimbursement\n A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress\nWe know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.\nChime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: .\nTo learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.","description_format":"text","description_chars":9112,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Generous vacation","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-09-11T19:31:10Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 112 · green card filings: 38","filings_12m":112,"filings_prev_12m":129,"green_card_filings_12m":38,"median_offered_wage_usd":189967,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":46}],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.821,"p_room":0.75,"age_days":49,"expected_fill_days":55,"reasons":["conf:3","velocity","win:late"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":259000,"is_top_pay":true},"html_url":"https://alion.io/job/chime-senior-software-engineer-machine-learning-platform-2","json_url":"https://alion.io/job/chime-senior-software-engineer-machine-learning-platform-2.json","meta":{"generated_at":"2026-10-31T10:59:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16856,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3966},"rest":"https://alion.io/mcp/rest/get_company?id=3966"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fchime-senior-software-engineer-machine-learning-platform-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fchime-senior-software-engineer-machine-learning-platform-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fchime-senior-software-engineer-machine-learning-platform-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/chime-senior-software-engineer-machine-learning-platform-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fchime-senior-software-engineer-machine-learning-platform-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":764568}},{"tool":"search_jobs","arguments":{"company":"chime.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":764568},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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