{"id":925705,"url":"https://alion.io/job/roku-senior-machine-learning-engineer-3","title":"Senior Machine Learning Engineer","company":{"id":1964,"name":"Roku","domain":"weareroku.com","url":"https://alion.io/company/roku","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":83,"open_postings":101,"ghost_share":0.198,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":70,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":229500,"max":367100,"currency":"USD","period":"year","gross":null,"usd_annual":367100},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Aerospike","optional":false},{"name":"AI Agents","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLlib","optional":false},{"name":"Python","optional":false},{"name":"ScyllaDB","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Reinforcement Learning","optional":true}],"status":"live","first_seen_at":"2026-06-18T17:52:38Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-10-11T12:31:39Z","board_verified":true,"closed_at":null,"days_open":115,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":114},"description":"Teamwork makes the stream work.\nRoku is changing how the world watches TV\nRoku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.\nFrom your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.\nAbout the team\nThe Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across large-scale distributed systems with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation, and Inference Platform, which powers the entire landscape, and we continuously evolve.\nAbout the role\nWe’re on a mission to build cutting-edge advertising technology that empowers businesses to run sustainable and highly profitable campaigns. The Ad Performance team owns server technologies, data, and cloud services designed to improve the ad experience. We're looking for seasoned engineers with machine learning backgrounds to support this mission. Examples of problems include improving ad relevance, inferring demographics, optimizing yield, and more. Employees in this role are expected to apply knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning using both general-purpose software and statistical languages.\nFor California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.\nWhat you’ll be doing\nML infrastructure: Help build a first-class machine learning platform from the ground up, which manages the entire model lifecycle - feature engineering, model training, versioning, deployment, online serving/evaluation, and monitoring prediction quality\nData analysis and feature engineering: Apply your expertise to identify and generate features that can be leveraged by multiple use cases and models\nModel training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Decision Trees, Logistic Regression, Neural Networks, Bayesian Analysis and others to develop and evaluate algorithms for improving product/system performance, quality, and accuracy\nProduction operations: Low-level systems debugging, performance measurement, and optimization on large production clusters\nCollaboration with cross-functional teams: Partner with product managers, data scientists, and other engineers to deliver impactful solutions\nStaying ahead of the curve: Continuously learn and adapt to emerging technologies and industry trends\nWe’re excited if you have\nBachelor's, Master's, or PhD in Computer Science, Statistics, or a related field\n5 years of experience in applied machine learning on real use cases \nProficient coding skills and strong software development experience in Spark, Python, or Java\nFamiliarity with real-time evaluation of models with low latency constraints\nFamiliarity with distributed ML frameworks such as Spark-MLlib, TensorFlow, etc.\nAbility to work with large-scale computing frameworks, data analysis systems, and modeling environments i.e., Spark, Hive, NoSQL stores such as Aerospike and ScyllaDB\nAd Tech experience is preferred \nProficient use of AI tools and agentic coding practices\n#LI-DH2\nWhat's Roku's approach to hybrid working?\nRoku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.\nWhat are some of the benefits?\nRoku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.\nAccommodations\nRoku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .\nWhat should I know about Roku's culture?\nRoku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.\nWe have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.\nTo learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.\nBy providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing .","description_format":"text","description_chars":7323,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Health insurance","Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Televisions","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-15T06:51:43Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.69,"p_room":0.36,"age_days":113,"expected_fill_days":70,"reasons":["conf:5","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":367100,"is_top_pay":true},"html_url":"https://alion.io/job/roku-senior-machine-learning-engineer-3","json_url":"https://alion.io/job/roku-senior-machine-learning-engineer-3.json","meta":{"generated_at":"2026-10-11T21:15:45Z","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":10040,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-12T00:00:00Z"}},"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":1964},"rest":"https://alion.io/mcp/rest/get_company?id=1964"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Froku-senior-machine-learning-engineer-3"},{"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%2Froku-senior-machine-learning-engineer-3"},{"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%2Froku-senior-machine-learning-engineer-3"},{"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/roku-senior-machine-learning-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Froku-senior-machine-learning-engineer-3"}]}