{"id":807543,"url":"https://alion.io/job/dorsia-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":673354,"name":"Dorsia","domain":"dorsia.com","url":"https://alion.io/company/dorsia","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":14,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":100000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"dbt","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Cloudflare","optional":true},{"name":"Embeddings","optional":true},{"name":"Feature Store","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Hugging Face","optional":true},{"name":"LangChain","optional":true},{"name":"Metabase","optional":true},{"name":"PHP","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Redis","optional":true},{"name":"Reinforcement Learning","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true},{"name":"Vercel","optional":true}],"status":"live","first_seen_at":"2025-06-05T23:16:16Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-09-30T18:04:53Z","board_verified":true,"closed_at":null,"days_open":482,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":481},"description":"Why Dorsia\nDorsia is at the forefront of hospitality tech innovation. We are revolutionizing the way people experience dining by leveraging cutting-edge technology to offer exclusive restaurant reservations and VIP experiences. Join us as we continue to expand our footprint and reshape the hospitality industry.\nAbout the Role\nWe’re looking for a Machine Learning Engineer to join our growing team and own the development of intelligent systems that power core product features, personalization, and operational efficiency. You’ll work across the stack-from data pipelines and model training to inference infrastructure and product integration.\nThis is a hands-on, full-stack ML role with a direct line to impact-shaping how members discover experiences, how restaurants manage demand, and how our business scales. \nWhat You’ll Do\nBuild ML-Powered Features Train and deploy models for search, ranking, recommendations, pricing, fraud detection, demand prediction, and more.\n\nWork Across the ML Lifecycle Own projects from end-to-end, covering data sourcing and feature engineering to model deployment and monitoring.\n\nDeploy at ScaleBuild real-time inference pipelines and batch workflows using modern cloud-native infrastructure.\n\nUse AI to Ship Faster Leverage generative AI and LLMs to accelerate development, boost internal tooling, and augment user experiences.\n\nCollaborate Across Functions Partner closely with product, design, and ops to ship delightful and impactful ML features.\n\nWhat We’re Looking For\nMust-Haves\n5-10 years of experience in software or ML engineering\nExperience building,shipping and scaling ML models in production (NLP, ranking, classification, etc.)\nStrong programming skills in Python and SQL and a good understanding of best practices in software and data engineering\nFamiliarity with ML tooling (PyTorch, TensorFlow, scikit-learn), orchestration (Airflow, dbt), and deployment\nExperience with cloud services (AWS, GCP, or similar)Ability to reason about data and metrics-and a drive to tie models to real business outcomes\n\n5 days a week in our SoHo NYC office\nNice-to-Haves\nExperience working on recommender systems, reinforcement learning, graph-based models, marketplace dynamics, or pricing systems\nUnderstanding of retrieval systems, embeddings, or vector search\nExperience in luxury, hospitality, or marketplace products\nFamiliarity with feature stores, and observability tools\nStartup mindset: high agency, comfort with ambiguity, bias to ship\nTech Stack Snapshot\nLanguages: Python, TypeScript, PHP\nModeling & ML: PyTorch, Hugging Face, scikit-learn, LangChain\nData: dbt, PostgreSQL, Redis, Airflow, Metabase\nInfra: AWS, Cloudflare, Vercel, Terraform, GitHub Actions\nCompensation & Benefits:\nSalary ranges are based on paying competitively for our size and stage. We determine our pay by considering skills and experience related to the role, location, and ensuring internal equity relative to other Dorsia employees\nFlexible PTO\nMedical, dental, and vision insurance \nFSA\nCommuter benefits\nFree membership to One Medical \nTeladoc\nTalkspace\nKindbody\n401(k) \nIn-office lunch 3 days a week \nEmployee Dining Credits \nCompensation is based on your experience and the scope of the role. Final compensation is based on factors like experience, location, and internal equity. This role also includes equity and a full suite of benefits. Typical base salary ranges are:\nJunior level: $100,000-$160,000\n\nMid level: $150,000-$200,000\n\nSenior level: $190,000-$250,000\n\nCompensation: \nNew York Pay Range\n$100,000—$250,000 USD\nWorkplace Philosophy at Dorsia\nAt Dorsia, we believe that culture eats strategy. The best ideas in the world mean nothing without the right people around the table and the right chemistry between them. We are, unapologetically, a people-first organization. \nIn-Person Matters\nWe’re creating once-in-a-lifetime experiences for the most discerning audience in the world. That doesn’t happen over Zoom. It happens through collisions: a spark across a desk, a kitchen-side conversation that unlocks a partnership, the energy of ideas felt, not typed. That’s why in-office culture is non-negotiable at Dorsia. \nWho We Hire\nWe don’t subscribe to check-the-box hiring. We hire for merit and mindset, which naturally creates a team with varied backgrounds. What unites us isn’t demographics, it’s a shared vision: to build the social operating system for the cultural vanguard.\nLifestyle Hours\nWe’re not a 9-to-5 company. Our lifestyle mirrors our members. Early flights, after-work events, and late-night sprints when the work demands it. But we love what we do, and we definitely love a good party.\nHigh Performance Culture\nWorking at Dorsia isn’t for everyone-and that’s the point. Our culture is designed for builders, not passengers. We move fast, set ambitious standards, and expect people to rise to them. If you have the talent and the drive, this will be a ride to remember.\nA Final Word\nWe’re building something special. It will take long hours and relentless effort. It’s not for everyone. For those with the metabolism, you’ll create something that changes how culture is lived. And that’s the kind of work worth your life’s energy.","description_format":"text","description_chars":5192,"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":["Equity","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-12T09:41:49Z"}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.231,"p_room":0.28,"age_days":481,"expected_fill_days":30,"reasons":["conf:7","win:tail","crowd:"],"computed_at":"2026-09-30T05:45:00Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":false},"html_url":"https://alion.io/job/dorsia-machine-learning-engineer","json_url":"https://alion.io/job/dorsia-machine-learning-engineer.json","meta":{"generated_at":"2026-10-01T00:11:21Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":188,"day_limit":5000,"remaining_today":4812,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}