{"id":198944,"url":"https://alion.io/job/opentable-applied-machine-learning-scientist-ii","title":"Applied Machine Learning Scientist II","company":{"id":450225,"name":"OpenTable","domain":"opentable.com","url":"https://alion.io/company/opentable-5","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":15,"ghost_share":0,"stale_share":0.2,"repost_share":0,"time_to_fill_p50_days":43,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Toronto, Canada","Ottawa, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":69000,"max_usd":157000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":25},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"XGBoost","optional":false},{"name":"Embeddings","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"LLM","optional":true},{"name":"Slack","optional":true}],"status":"live","first_seen_at":"2026-09-04T00:59:42Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-26T12:26:58Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"This hybrid role requires working in the office two days per week.\nWith millions of diners, 70,000+ restaurant partners and 25+ years of experience, OpenTable, part of Booking Holdings, Inc. (NASDAQ: BKNG), is an industry leader with a passion for helping restaurants thrive. Our world-class technology empowers restaurants to focus on what matters most - their team, their guests, and their bottom line - while enabling diners to discover and book the perfect restaurant for every occasion. \nEvery employee at OpenTable has a tangible impact on what we do and how we do it. You’ll also be part of a global team and its portfolio of metasearch brands. Hospitality is all about taking care of others, and it defines our culture.\nWhy this role at OpenTable?\nOpenTable seats 25 million diners each month across 70 000+ restaurants and taps into more than 20 years of booking data-an ideal launchpad for an early-career ML scientist. In our tight-knit team, every experiment you run and every model you ship goes live quickly and at scale. You’ll start with well-scoped projects and close mentorship, then rapidly earn the freedom to pitch and implement research ideas that deliver measurable value for diners, restaurants, and the business. We celebrate agency, speed, and relentless experimentation, balanced by disciplined prioritization rooted in ML expertise and real-world production and business constraints. This posting is for an existing vacancy.\nResponsibilities\nPrototype, evaluate, and productionize machine learning systems to enhance restaurant content understanding, retrieval, matching, ranking, and recommendation.\nBuild and monitor scalable data and machine learning pipelines, ensuring strong data quality and reproducibility.\nDesign evaluation frameworks and experiments to define success metrics and continuously improve model quality, relevance, and product impact.\nApply large language models (LLMs) and multimodal approaches to content tasks like extraction and classification while optimizing for performance, latency, and cost.\nDevelop reusable machine learning tooling and maintain rigorous standards for code quality, deployment, and documentation.\nCollaborate cross-functionally with engineering, product, and content teams to translate ambiguous business needs into practical, scalable machine learning solutions.\nMinimum Qualifications\nBachelor's, Master's, or PhD degree in Computer Science, Statistics, Mathematics, or a related technical field, with 0-3 years of relevant academic or professional experience.\nProficiency in Python and foundational machine learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn, XGBoost).\nHands-on experience training, tuning, evaluating, and debugging classical machine learning and deep learning models, including Transformers.\nStrong foundation in software engineering principles, algorithms, and data structures, with familiarity in large-scale data systems.\nDemonstrated ability to translate business goals into machine learning metrics and address common production issues like data drift and overfitting.\nPreferred Qualifications\nExperience applying machine learning to text, image, or multimodal content for retrieval, matching, ranking, or recommendation.\nFamiliarity with large language model (LLM) workflows for text and image processing tasks.\nExposure to search systems, information retrieval, embeddings, or learning-to-rank methodologies.\nExperience with human-in-the-loop machine learning systems supporting operational or editorial workflows.\nDemonstrated applied curiosity through substantial technical projects, research, open-source contributions, or internships.\nBenefits and Perks\nGenerous paid vacation + time off for your birthday\nWork from (almost) anywhere for up to 20 days per year\nFocus on mental health and well-being:Company-paid therapy sessions through SpringHealth\nCompany-paid subscription to Headspace\nAnnual company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)\n\nPaid parental leave\nPaid volunteer time\nFocus on your career growth:Development Dollars\nLeadership development\nAccess to thousands of on-demand e-learnings\n\nTravel Discounts\nEmployee Resource Groups\n20 days of paid time off\nPrivate health and dental insurance\nLife and Disability insurance\nThe best connections happen face-to-face, whether you’re sitting down to dinner or having coffee with a coworker. That’s why OpenTable has adopted a hybrid workplace model. This role aligns with that approach, with an expectation of coming into the office two days a week-giving employees the best of both worlds: in-person collaboration and flexibility.\nThe expected range of compensation for this position based in Toronto, Canada, including commission and/or bonuses is $170,000 - $190,000 CAD. There are a variety of factors that go into determining a compensation range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required.\nWe offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.\nWork Environment & Flexibility\nAt OpenTable, we pride ourselves on fostering a global and dynamic work environment. As a team member with us, you will benefit from a schedule tailored to accommodate a global workforce operating across multiple time zones. While the majority of your responsibilities may align with conventional business hours, there will be instances where you are expected to manage communications - via calls, Slack messages, or emails - outside of regular working hours to effectively collaborate with international colleagues, respond to restaurant partners, and/or address urgent matters. OpenTable will always abide by and consider local laws and regulations.\nInclusion\nWe’re committed to creating a workplace where everyone feels they belong and can thrive. We know the best ideas come when we bring different voices to the table, so we're building a team as dynamic as the diners and restaurants we serve-and fostering a culture where everyone feels welcome to be themselves.\nIf you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.","description_format":"text","description_chars":6553,"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":["Dental insurance","Equity","Life insurance","Parental leave"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Food & Beverages","Catering & Food Services","Scheduling & Booking Software"],"lifecycle":[{"event":"open","at":"2026-09-04T01:03:59Z"}],"visa":[],"liveness":{"score":31,"band":"fade","label":"Fading","p_open":1,"p_active":0.713,"p_room":0.44,"age_days":52,"expected_fill_days":43,"reasons":["conf:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/opentable-applied-machine-learning-scientist-ii","json_url":"https://alion.io/job/opentable-applied-machine-learning-scientist-ii.json","meta":{"generated_at":"2026-10-26T13:50:41Z","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":19116,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":450225},"rest":"https://alion.io/mcp/rest/get_company?id=450225"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fopentable-applied-machine-learning-scientist-ii"},{"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%2Fopentable-applied-machine-learning-scientist-ii"},{"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%2Fopentable-applied-machine-learning-scientist-ii"},{"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/opentable-applied-machine-learning-scientist-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fopentable-applied-machine-learning-scientist-ii"}]}