{"id":3363884,"url":"https://alion.io/job/stackadapt-seniorstaff-applied-machine-learning-scientist-2","title":"Senior/Staff Applied Machine Learning Scientist","company":{"id":5624,"name":"StackAdapt","domain":"stackadapt.com","url":"https://alion.io/company/stackadapt","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":15,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":75,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Canada","United States"],"countries":["CA","US"],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":220000,"period":"year","method":"role_seniority_country_cell","sample_n":26},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false}],"status":"live","first_seen_at":"2025-09-02T22:09:55Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-29T13:59:51Z","board_verified":true,"closed_at":null,"days_open":421,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":421},"description":"StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.\nWe are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.\nWant to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/\nLearn more about our team culture here: https://www.stackadapt.com/careers/data-science \nWatch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU\nStackAdapt is a remote-first company, and we are open to candidates located anywhere in the US or Canada for this position.\nWhat you'll be doing:\nLead the creation and optimization of advanced machine learning algorithms-from developing new methods to refining existing techniques-to enhance advertising effectiveness and ROI using deep ML expertise.\nOwn the end-to-end development of production-grade ML models: write efficient, scalable code and collaborate with Machine Learning Engineers to deploy and integrate algorithms into live systems.\nDrive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights.\nWhat you'll bring to the table:\n3+ years of industry experience\nHave a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.\nHave the ability to take an ambiguously defined task, and break it down into actionable steps\nHave a comprehensive understanding of statistics, optimization and machine learning\nAre proficient in coding, data structures, and algorithms\nEnjoy working in a friendly, collaborative environment with others\nThe compensation range listed for this role reflects the expected base salary for candidates located in the posting country based on a global rate. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. We do not ask candidates about current or prior salary history, and we will not use such information, if volunteered, in setting an offer.\nThis range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package.\nFactors Influencing Final Compensation:\nThe final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications.\nOther business factors, such as organizational needs and budget alignment, may also be considered in the final offer.\nCanada Base Salary Band\n$170,400—$234,300 CAD\nUSA Base Salary Band\n$160,000—$220,000 USD\nStackAdapter's Enjoy:\nHighly competitive salary\nRetirement/ 401K/ Pension Savings globally\nCompetitive Paid time off packages including birthday's off!\nAccess to a comprehensive mental health care program\nHealth benefits from day one of employment\nWork from home reimbursements\nOptional global WeWork membership for those who want a change from their home office and hubs in London and Toronto\nRobust training and onboarding program\nCoverage and support of personal development initiatives (conferences, courses, books etc)\nAccess to StackAdapt programmatic courses and certifications to support continuous learning\nAn awesome parental leave program\nA friendly, welcoming, and supportive culture\nOur social and team events!\nPlease note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.\nStackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability, superpower status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. \nStackAdapt is committed to providing an inclusive and accessible recruitment process. Accommodations are available upon request for candidates taking part in all aspects of the selection process. If you require an accommodation, please let us know.\nWe use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.\nAbout StackAdapt\nWe've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:\nG2 Top Software for 2026\n2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®\n#1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising\n2026 Winner in the (CTV/OTT) Product/Platform category for the 2026 ADWEEK Tech Stack Awards\nTo learn more about our privacy practices, please see our Privacy Policy.","description_format":"text","description_chars":6073,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Annual bonuses","Continuous learning","Equity","Home office","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Digital Marketing"],"lifecycle":[{"event":"open","at":"2026-10-27T22:16:46Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.356,"p_room":0.28,"age_days":421,"expected_fill_days":75,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/stackadapt-seniorstaff-applied-machine-learning-scientist-2","json_url":"https://alion.io/job/stackadapt-seniorstaff-applied-machine-learning-scientist-2.json","meta":{"generated_at":"2026-10-29T18:28:32Z","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":27304,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":5624},"rest":"https://alion.io/mcp/rest/get_company?id=5624"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstackadapt-seniorstaff-applied-machine-learning-scientist-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%2Fstackadapt-seniorstaff-applied-machine-learning-scientist-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%2Fstackadapt-seniorstaff-applied-machine-learning-scientist-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/stackadapt-seniorstaff-applied-machine-learning-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstackadapt-seniorstaff-applied-machine-learning-scientist-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3363884}},{"tool":"search_jobs","arguments":{"company":"stackadapt.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3363884},"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. Docs: https://alion.io/developers"}}