{"id":19559,"url":"https://alion.io/job/wirescreen-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":5597,"name":"Wirescreen","domain":"wirescreen.ai","url":"https://alion.io/company/wirescreen","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","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":150000,"max":195000,"currency":"USD","period":"year","gross":null,"usd_annual":195000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Embeddings","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Computer Vision","optional":true},{"name":"Docker","optional":true},{"name":"FastAPI","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Kubernetes","optional":true},{"name":"NumPy","optional":true},{"name":"OCR","optional":true},{"name":"pySpark","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-06-26T14:50:32Z","employer_posted_date":"2026-06-26","last_verified_at":"2026-10-17T14:35:31Z","board_verified":true,"closed_at":null,"days_open":113,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":112},"description":"WireScreen is a fast-growing Series A startup bringing clarity to one of the world’s most complex business landscapes. We’re building the go-to intelligence platform for navigating global supply chains and China-related risk-revealing the networks, relationships, and financial ties behind companies so our customers can see connections, remove obstacles, and make confident decisions.\nBacked by Sequoia Capital and Harpoon Ventures, our team includes a two-time Pulitzer Prize-winning journalist and senior engineers from Google, Twitter, and Oracle. We launched just three years ago and already have strong traction with top-tier government customers-and we’re just getting started. If you’re excited to make global systems more transparent and secure, now’s the perfect time to join us.\nAbout The Role:\nAs a Machine Learning Engineer at WireScreen, you will be working across our data systems to unlock the source of truth behind one of the world’s economic powerhouses: China. This role is critical to building models that support the two fundamental pieces of our business: entity resolution and our knowledge graph. These systems are the cornerstones that uncover hidden connections within the Chinese economy. You will be contributing to our existing MCP servers and agentic pipelines to classify, cluster and enrich across millions of entities. You will be working with engineering, product and research to expand our AI toolkit, scaling our data ingestion processes, building analytics and insights into our platform at a scale not previously achievable.\nReporting directly to the VP of Engineering, you will work with our data team, enrichment team and product to establish our source of truth and expand our machine learning capabilities.\nWhat You'll Do:\nFine tune our existing entity resolution algorithms to uncover hidden connections between people and organizations across China\n\nExpand our knowledge graph with alternative data to map out the power structure of China\n\nTrain, test and deploy ML models that operate on tens of millions of records daily\n\nWork with Product to define and implement evaluation harnesses for classical ML and agentic systems\n\nBuild agent workflows into internal tools to improve the scale and speed of our Research team\n\nWhat we’re looking for:\n4+ years of experience working on clustering-type ML problems, ideally in the domain of knowledge graphs / entity resolution, but other domains could include; recommendation engines, cohort analysis, outlier/anomaly detection\n\nEnd-to-end machine learning model experience in production; that you’ve stood up a service including experimenting, training, testing and tuning a job against a dataset all the way through to deployment and beyond. Model families could include clustering, classification/regression, dimensionality reduction and embeddings, nearest-neighbor/similarity methods (e.g. KNN, SVM), ensembles, NLP, and deep learning.\n\nSignificant experience with python programming and SQL\n\nNice to have:\nExperience working with Frontier/SOTA models and/or fine-tuning your own LLMs for specific tasks\n\nWorking on problems across large, heterogeneous, messy unstructured datasets and/or with semantic search, computer vision (especially OCR), or linear optimization problems\n\nExperience with any of the following technologies: PySpark, Temporal, FastAPI, Scikit-learn, NumPy, Docker, Terraform, Kubernetes\n\nEarly-stage startup experience (Series B or earlier)\n\nB2B SaaS experience\n\nWhat You'll Love About Wirescreen\nAt WireScreen, you'll do high-impact work that helps shape the global economy and power competition. We’re a mission-driven team with a growth mindset-curious, collaborative, and unafraid to take on bold challenges. You’ll be empowered to act, heard when you speak, and supported as you grow. With strong market momentum and ambitious goals, this is an exciting time to join us and help build something that truly matters.\nBenefits & Perks\nAt WireScreen, we care deeply about our team and are committed to supporting your well-being-both in and out of the workplace. Here’s how we take care of our employees:\nCompetitive compensation including salary, equity, and rapid growth potential\n\n100% company-paid Medical, Dental, and Vision coverage for employees\n\nFSA, HSA, and 401(k) options to help you plan for healthcare expenses and retirement\n\nGenerous paid time off plus company-wide holidays to help you rest and recharge\n\nPre-tax commuter benefits to help you save on transit and parking\n\nHybrid office schedule designed to give you flexibility while staying connected with your team","description_format":"text","description_chars":4596,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["RegTech, AML & Compliance","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-06-26T14:50:32Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.393,"p_room":0.28,"age_days":112,"expected_fill_days":32,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":{"stated_usd_annual":195000,"is_top_pay":false},"html_url":"https://alion.io/job/wirescreen-machine-learning-engineer","json_url":"https://alion.io/job/wirescreen-machine-learning-engineer.json","meta":{"generated_at":"2026-10-17T16:08:36Z","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":22014,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":5597},"rest":"https://alion.io/mcp/rest/get_company?id=5597"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwirescreen-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%2Fwirescreen-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%2Fwirescreen-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/wirescreen-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwirescreen-machine-learning-engineer"}]}