{"id":427,"url":"https://alion.io/job/constructor-senior-machine-learning-engineer-ml-recall","title":"Senior Machine Learning Engineer: ML Recall","company":{"id":716274,"name":"Constructor","domain":"constructor.com","url":"https://alion.io/company/constructor-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":94,"open_postings":39,"ghost_share":0,"stale_share":0,"repost_share":0.077,"time_to_fill_p50_days":72,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["GB","DE","FR","AE","AT","BE","BA","BG","HR","CY","CZ","DK","EG","FI","HU","IE","IL","IT","KE","NL","NG","NO","PL","RO","SA","RS","ZA","ES","SE","CH","TR","UA","AL","DZ","AD","AO","BH","BJ","BW","BF"],"hiring_countries_total":115,"salary":{"min":80000,"max":120000,"currency":"USD","period":"year","gross":null,"usd_annual":120000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-06-04T12:52:46Z","employer_posted_date":"2026-06-04","last_verified_at":"2026-10-18T00:21:08Z","board_verified":true,"closed_at":null,"days_open":135,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":134},"description":"About Us\nLaunched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.\nAs a member of the ML Recall team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the retrieval layer of our search engine.\nThe mission is to make sure the product a shopper looks for is always among the results - for any query, in any language, in a few milliseconds.\nAbout the Job\nYour primary focus will be search retrieval and visual solutions:\nSearch Recall. A modern retrieval stack with dense and sparse models, plus query understanding. Latency is a strict requirement, so quality vs speed tradeoff is constant.\n\nVisual and multimodal search. End-to-end visual solutions: image search, shop the look, visual recommendations.\n\nModels as a platform. Our team owns a wide range of deep learning models, and other teams build on top of them.\n\nWhat makes this interesting\nMulti-domain, multi-language, at scale - 40+ languages, 20+ domains. The models need to generalize across all of them - without per-customer rules or overrides.\n\nReal room for R&D. You will experiment with new architectures and approaches, A/B test them on live traffic, and deliver measurable business value.\n\nThe measurement challenge. You can't measure what was not returned - a missed product leaves no trace in the logs, and the query looks like it worked. Building the ground truth to catch that is part of the modeling work.\n\nRequirements\n4+ years shipping production ML systems\n\nExperience with search, information retrieval, or recommendation systems\n\nHands-on experience training, fine-tuning, and evaluating transformer models\n\nStrong Python and PyTorch. Fluency in data orchestration tools (Spark, Airflow)\n\nExperience owning a model end to end - from problem framing to rollout\n\nExperience designing and running A/B tests to validate model impact\n\nExcellent English communication skills\n\nBenefits\nUnlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year\n\nFully remote team - choose where you live\n\nWork from home stipend! We want you to have the resources you need to set up your home office\n\nApple laptops provided for new employees\n\nTraining and development budget for every employee, refreshed each year\n\nMaternity & Paternity leave for qualified employees\n\nWork with smart people who will help you grow and make a meaningful impact\n\nBase salary: $80k-$120k USD, depending on knowledge, skills, experience, and interview results\n\nStock options - offered in addition to the base salary\n\nRegular team offsites to connect and collaborate\n\nDiversity, Equity, and Inclusion at Constructor\nAt Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.\nStudies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications.\nHow we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. 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