{"id":592646,"url":"https://alion.io/job/hellofresh-dev-senior-machine-learning-engineer-growth","title":"Senior Machine Learning Engineer, Growth","company":{"id":1061,"name":"HelloFresh","domain":"hellofresh.com","url":"https://alion.io/company/hellofresh","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":88,"open_postings":72,"ghost_share":0,"stale_share":0.458,"repost_share":0.042,"time_to_fill_p50_days":41,"computed_at":"2026-10-27T05:46:45Z"}},"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":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":82000,"max_usd":151000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Embeddings","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-03-25T23:17:49Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-27T23:14:44Z","board_verified":true,"closed_at":null,"days_open":216,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":215},"description":"We are seeking a Senior Machine Learning Engineer to join the Growth Tech Alliance. In this role, you will architect and deploy the robust infrastructure behind our intelligent marketing systems. You will be responsible for maturing algorithmic prototypes into high-performance production systems, ensuring our AI-driven marketing optimization is served reliably and autonomously at a global scale.\nS'more about the team\nWe are hiring a Senior Machine Learning Engineer to take our AI tooling to the next level by architecting and deploying the robust infrastructure behind our intelligent marketing optimization systems. You will provide critical engineering execution for our AI initiatives. You will develop scalable microservices for predictive scoring, orchestrate complex LLM-based agents for creative intelligence. As the ML engineering expert for the team, you will drive the maturation of algorithmic prototypes into high-performance production systems with maximum Speed & Agility, shaping the future of how HelloFresh automates marketing at an unprecedented scale.\nLettuce share what this role will be responsible for\nAs a core member of the engineering team, you will focus on productionizing ML infrastructure across several domains:\nBuild robust integration layers for visual AI pipelines that process multi-modal embeddings that power various predictive models.\nTransition proof-of-concept models into resilient production microservices and architect LLM-based orchestration frameworks.\nEngineer high-throughput, low-latency data pipelines to process 1P data and pipeline signals into external platforms like Meta and Google.\nCollaborate with data scientists and other engineers in a cross-functional team to improve HelloFresh’s value forecasting efficiency.\nEstablish CI/CD processes, feature stores, and drift detection to ensure continuous delivery and model reliability.\nWork beyond your specialization when the problem demands it. Your specialization is your anchor, not your boundary.\nOperate what you build. You instrument, monitor, and improve your systems in production. Shipping is the beginning of the learning cycle, not the end.\nAll other duties, as assigned\nSound a-peeling? Here's what we're looking for\nHands-on experience working with AI tooling (e.g., Claude Code, Cursor, Copilot) beyond casual experimentation. You use AI agents every day. You have a practical sense of how the context you provide to AI tools shapes output quality, and how to set boundaries on AI-generated work.\nExperience leading the end-to-end lifecycle of production ML systems, from architectural design to scalable deployment and monitoring.\nExpertise in leveraging hyperscaler ecosystems (AWS, GCP, Azure) to build cost-effective, resilient, and automated ML infrastructure.\nDeep technical proficiency with modern ML frameworks (PyTorch, TensorFlow, HuggingFace)\nExpert programming skills in Python and PySpark.\nA BS/MS in Computer Science or a related engineering field, coupled with a proven track record of bringing ML systems from prototype to high-traffic production.\nProven experience engineering robust data architectures that reliably process and combine diverse data formats, ranging from structured offline conversion data to unstructured multimedia assets.\nA demonstrated bias for action and extreme ownership, eager to adopt Gen AI tools to creatively solve architectural challenges and enhance engineering velocity.\nYou take full ownership. You have a bias to ship. You finish the last twenty percent. \nYou have product sense and are opinionated about what should be built and why, and you can back that opinion with data and user evidence.\nLet’s cut to the cheese, this is why you'll love it here\nBox Discount - Amazing discounts on 1 box per week! 75% discount on weekly HelloFresh and Chefs Plate meal kits AND 50% off weekly Factor meal box.\nHealth & Wellness - Health & Dental benefits from day 1, a Health Spending Account, unlimited access to the Headspace app to meet your self-care needs, and 25% discount on GoodLife fitness memberships!\nRRSP Matching - Competitive RRSP matching program offered\nVacation & PTO - Time off is also an important part of self-care! We offer generous vacation and PTO to help you create a good work-life balance. \nFamily Benefits - A parental leave top-up program for expectant parents.\nGrowth & Development - We support your career progression and invest in your continued learning through experiences and initiatives owned by our dedicated L&D team\nWork Hard & Have Fun - From team socials to engaging company days, you’ll have plenty of opportunity to experience the fun!\nDiversity & Inclusion Initiatives - With impactful ERG’s like FreshPride, Women Empowered and LIMES, we are committed to our diversity, equity & inclusion efforts.\nFood Puns - this one is kind of a big dill if you haven’t already noticed. We even have some punny meeting room names!\nFlexible Hybrid Approach\nAt HelloFresh, we know that flexible work arrangements are essential in enabling you to do your best work, while balancing your personal and life needs. Offering remote work flexibility, along with the opportunity to interact and collaborate in the office are all a part of creating a great employee experience. \nTo meet these needs, we are pleased to provide Flexible Hybrid work. Flexible Hybrid is a people-first approach that is based on choice, trust, personalization, and empowers teams to choose when and how often they work from the office and work from home, in addition to team days and company days. This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week.\nHelloFresh Canada uses AI-integrated technology to help us process and evaluate applications more efficiently. This includes tools that screen and assess candidate qualifications based on the requirements for this role. While these tools assist our workflow, all final selection decisions are made by our hiring team.\nThis is a posting for an existing vacancy. We are actively seeking to fill this position.\nToronto, ON Pay Range\n$170,000—$200,000 CAD","description_format":"text","description_chars":6110,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Generous vacation","Hybrid work","Parental leave"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Online Groceries","Subscription Commerce","Prepared Foods"],"lifecycle":[{"event":"open","at":"2026-09-10T13:30:29Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.357,"p_room":0.28,"age_days":215,"expected_fill_days":41,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/hellofresh-dev-senior-machine-learning-engineer-growth","json_url":"https://alion.io/job/hellofresh-dev-senior-machine-learning-engineer-growth.json","meta":{"generated_at":"2026-10-28T03:54:16Z","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":5128,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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":1061},"rest":"https://alion.io/mcp/rest/get_company?id=1061"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhellofresh-dev-senior-machine-learning-engineer-growth"},{"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%2Fhellofresh-dev-senior-machine-learning-engineer-growth"},{"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%2Fhellofresh-dev-senior-machine-learning-engineer-growth"},{"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/hellofresh-dev-senior-machine-learning-engineer-growth\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhellofresh-dev-senior-machine-learning-engineer-growth"}]}