{"id":4277294,"url":"https://alion.io/job/block-senior-machine-learning-engineer-platform","title":"Senior Machine Learning Engineer, Platform","company":{"id":4294,"name":"Block","domain":"block.xyz","url":"https://alion.io/company/block","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":39,"ghost_share":0,"stale_share":0.641,"repost_share":0,"time_to_fill_p50_days":58,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":228700,"max":343100,"currency":"USD","period":"year","gross":null,"usd_annual":343100},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Bitcoin","optional":false},{"name":"Feature Store","optional":false},{"name":"Machine Learning","optional":false},{"name":"Amazon EC2","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"Go","optional":true},{"name":"gRPC","optional":true},{"name":"Java","optional":true},{"name":"Kotlin","optional":true},{"name":"Kubernetes","optional":true},{"name":"ONNX","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"Triton","optional":true},{"name":"TypeScript","optional":true},{"name":"vLLM","optional":true}],"status":"live","first_seen_at":"2026-11-13T16:55:55Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T19:22:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Block is one company built from many blocks, all united by the same purpose: economic empowerment. We build technology that increases access and independence for sellers, individuals, and artists around the world. Working at Block means working on and across our brands-Square, Cash App, Afterpay, TIDAL, Spiral, and Proto- in roles that connect, enable, and push all of them forward faster.\nWe’re remote-first by design and operate with intelligence at the center of everything we do. At Block, you'll be challenged by some of the brightest, most creative minds in the industry and have the tools and autonomy to do the most meaningful work of your career. \n\nThe Role\nBlock’s Machine Learning (ML) Platform team builds shared infrastructure that helps teams develop, evaluate, deploy, and monitor models and automated decision systems for uses such as fraud detection, recommendations, and underwriting. You will work closely with applied machine learning teams across Block to shape our roadmap, improve established services, and build new platform capabilities. You will have opportunities to deepen your expertise across the ML lifecycle, influence system designs, and help other engineers grow through mentoring and design reviews.\nYou Will\nDesign, build, and operate shared ML infrastructure, including feature stores, rules engines, model hosting and inference, training infrastructure, and offline model evaluation.\nLead the design and delivery of large-scale distributed systems, balancing response time, throughput, data consistency, availability, and cost.\nWork with applied machine learning teams and internal customers to understand their challenges, identify common needs, and turn them into reusable platform capabilities; use that feedback to help set our roadmap and priorities.\nBuild reliable services through automated testing, monitoring, capacity planning and safe deployments.\nParticipate in the oncall rotation for mission-critical systems, lead incident response and reviews, and fix underlying causes to prevent repeat incidents and reduce manual support work.\nBuild self-service interfaces, libraries, tools, and documentation that help teams develop models, move them into production, and understand how they perform.\nMentor engineers, guide design reviews, and share practices that help the team build and maintain reliable systems.\nYou Have\n8+ years of experience in software development and/or machine learning experience with a focus on internal platforms or infrastructure. \nHands-on experience building and operating ML infrastructure, with depth in one or more areas such as feature stores, rules engines, model hosting and inference, or training infrastructure.\nDeep understanding of architectures for ML-backed solutions and the ML lifecycle - from data gathering, training, model evaluation, MLOps, and productionizing models (both classical ML and deep learning/LLMs). \nExperience designing and operating large-scale distributed systems, including understanding failure modes, maintaining correct data, and managing performance and capacity.\nExperience operating mission-critical services, including oncall, incident response, and improvements that made systems more reliable.\nExperience leading complex technical work from an unclear starting point through delivery: defining the problem, testing ideas, choosing a design, planning work with other teams, and checking the results.\nExperience working with teams that use your platform, explaining technical choices and trade-offs, and mentoring engineers.\nExperience using any of the major cloud vendors for high scale production use cases.\nStrong communication skills (verbal and written) with technical and non-technical stakeholders.\nRuthless pragmatism when solving new and unconventional problems\nTechnologies We Use and Teach\nKotlin / Java, Golang, Python, Typescript, React\ngRPC, Protocol Buffers\nAWS (Sagemaker, EC2, EKS, Dynamo), Databricks (Spark)\nNVidia Triton, vLLM, ONNX\nWe’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.\nWe believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.\nWhile there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.\nBlock takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.\nTo find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. \nZone A:\n$228,700—$343,100 USD\nZone B:\n$217,300—$325,900 USD\nZone C:\n$205,900—$308,900 USD\nZone D:\n$194,500—$291,700 USD\nApplication Guidelines\nCandidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.\nUse of AI in Our Hiring Process\nWe may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws. \nContact us here with hiring practice or data usage questions.\nEvery benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering. Check out our other benefits at Block.\nBlock, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.\nPrivacy Policy","description_format":"text","description_chars":7315,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible time off","Health insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["POS Systems","Financial Software & Embedded Finance","Payment Processing & Gateways","Buy Now, Pay Later"],"lifecycle":[{"event":"open","at":"2026-11-13T19:22:56Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 146 · green card filings: 47","filings_12m":146,"filings_prev_12m":296,"green_card_filings_12m":47,"median_offered_wage_usd":213977,"route":null,"cap_exempt":false,"checked_at":"2026-11-12T07:36:15+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":90}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":62,"reasons":["conf:4","win:early","comp:brand"],"computed_at":"2026-11-13T23:26:17Z"},"pay":{"stated_usd_annual":343100,"is_top_pay":true},"html_url":"https://alion.io/job/block-senior-machine-learning-engineer-platform","json_url":"https://alion.io/job/block-senior-machine-learning-engineer-platform.json","meta":{"generated_at":"2026-11-13T23:26:17Z","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":46734,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-14T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":4294},"rest":"https://alion.io/mcp/rest/get_company?id=4294"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fblock-senior-machine-learning-engineer-platform"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fblock-senior-machine-learning-engineer-platform"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fblock-senior-machine-learning-engineer-platform"},{"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/block-senior-machine-learning-engineer-platform\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fblock-senior-machine-learning-engineer-platform"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4277294}},{"tool":"search_jobs","arguments":{"company":"block.xyz","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4277294},"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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