{"id":3690147,"url":"https://alion.io/job/bloomreach-senior-machine-learning-engineer","title":"Senior Machine Learning Engineer","company":{"id":620,"name":"Bloomreach","domain":"bloomreach.com","url":"https://alion.io/company/bloomreach","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":82,"open_postings":65,"ghost_share":0.215,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":103,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"ElasticSearch","optional":true},{"name":"Milvus","optional":true},{"name":"Qdrant","optional":true}],"status":"live","first_seen_at":"2026-11-03T13:05:30Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T09:39:47Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":3},"description":"Bloomreach is building the world’s premier agentic platform for personalization.We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey.\nWe're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses.\nWe’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey.\nWe're designing the future of autonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do.\nAnd we're building all of that on the intelligence of a single AI engine - Loomi - so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.\nBloomreach is seeking a Senior Machine Learning Engineer to join our Search Scaling team. The team takes the ML and AI behind Bloomreach search and makes it run in production: in the live search path that answers every shopper query, and in the data pipelines that prepare product catalogs for search.\nOur search powers online stores for many merchants, each with its own catalog, vertical, language and region. The Scaling team's job is to make our search and discovery features work well for all of them, and to turn models into reliable, low-latency, cost-efficient systems at that scale.\nWe are looking for someone who combines solid ML expertise with strong software engineering skills and takes end-to-end ownership of technical problems. You will partner closely with our Search Quality team, which develops the relevance and ranking models behind our search.\nYour Responsibilities\nDesign, build and operate ML components in the search serving path, within tight latency budgets.\nBuild query-time ML that helps search understand and handle each query.\nBuild and scale ML and LLM data pipelines across large product catalogs, with attention to cost and freshness.\nTune models across merchants, verticals and languages.\nBuild and scale online features and model serving infrastructure.\nSet up offline evaluation and safe rollout for production models: baselines, A/B tests, fallbacks, and latency and cost tracking.\nImprove observability and diagnosis of ML systems in production.\nWork with Search Quality engineers to bring their models into production within latency and cost targets.\nContribute to technical design and influence decisions across teams.\nQualifications\nBE/B.Tech/ME/M.Tech in Computer Science or a related discipline, with a strong mathematical foundation and excellent programming skills in Python. Experience with a backend language such as Go or Java.\n5+ years of experience building ML-driven systems in production.\nStrong software engineering skills, with hands-on experience serving ML models and LLMs in scalable cloud systems (AWS/GCP) under tight latency and cost budgets.\nExperience building large-scale data and ML pipelines.\nStrong problem-solving and analytical skills: able to break a problem down into its model-training and backend-engineering parts, and, during development, analyze results to pinpoint the cause of an issue and choose the right next step.\nExperience working across multiple customers, domains or languages.\nWorking knowledge of search, such as query understanding, ranking, autosuggest or faceting.\nExperience with deep learning frameworks such as PyTorch or TensorFlow.\nPreferred Qualifications\nExperience with Solr, Elasticsearch or a similar search engine.\nExperience with vector search in production, such as Milvus or Qdrant.\nExperience building evaluation, observability or explainability tooling for ML models, LLMs and serving systems.\nMore things you'll like about Bloomreach:\nCulture:\nA great deal of freedom and trust. At Bloomreach we don’t clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. \n\nWe have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. \n\nWe believe in flexible working hours to accommodate your working style.\n\nWe work virtual-first with several Bloomreach Hubs available across three continents.\n\nWe organize company events to experience the global spirit of the company and get excited about what's ahead.\n\nWe encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer*.\n\nThe Bloomreach Glassdoor page elaborates on our stellar 4.7/5 rating. The Bloomreach Comparably page Culture score is even higher at 4.9/5\n\nPersonal Development:\nWe have a People Development Program - participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions.\n\nOur resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges.*\n\nOur managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins.\n\nBloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.)*\n\nWell-being:\nThe Employee Assistance Program -- with counselors -- is available for non-work-related challenges.*\n\nSubscription to Calm - sleep and meditation app.*\n\nWe organize ‘DisConnect’ days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones.\n\nWe facilitate sports, yoga, and meditation opportunities for each other.\n\nExtended parental leave up to 26 calendar weeks for Primary Caregivers.*\n\nCompensation:\nRestricted Stock Units or Stock Options are granted depending on a team member’s role, seniority, and location.*\n\nEveryone gets to participate in the company's success through the company performance bonus.*\n\nWe offer an employee referral bonus of up to $3,000!\n\nWe reward & celebrate work anniversaries -- Bloomversaries!*\n\n(*Subject to employment type. Interns are exempt from marked benefits, usually for the first 6 months.)\nExcited? Join us and transform the future of commerce experiences!\nIf this position doesn't suit you, but you know someone who might be a great fit, share it - we will be very grateful!\nAny unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Bloomreach are considered property of Bloomreach and are not subject to payment of agency fees.","description_format":"text","description_chars":7321,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Company events","Flexible schedule","Parental leave","Restricted stock units","Stock options"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Marketing Automation","Recommendation Systems","Customer Data Platforms (CDP) & Reverse ETL"],"lifecycle":[{"event":"open","at":"2026-11-03T16:11:41Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":103,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/bloomreach-senior-machine-learning-engineer","json_url":"https://alion.io/job/bloomreach-senior-machine-learning-engineer.json","meta":{"generated_at":"2026-11-07T11:45:05Z","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":12301,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":620},"rest":"https://alion.io/mcp/rest/get_company?id=620"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbloomreach-senior-machine-learning-engineer"},{"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%2Fbloomreach-senior-machine-learning-engineer"},{"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%2Fbloomreach-senior-machine-learning-engineer"},{"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/bloomreach-senior-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbloomreach-senior-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3690147}},{"tool":"search_jobs","arguments":{"company":"bloomreach.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3690147},"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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