{"id":2504170,"url":"https://alion.io/job/blaze-talent-principal-machine-learning-engineer","title":"Principal Machine Learning Engineer","company":{"id":4421824,"name":"Blaze Talent","domain":"blazetalent.com","url":"https://alion.io/company/blazetalent","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","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":200000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"LLM Evaluation","optional":false},{"name":"LoRA","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"SFT","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"vLLM","optional":false},{"name":"PEFT","optional":true},{"name":"TensorRT","optional":true}],"status":"live","first_seen_at":"2026-07-29T16:17:28Z","employer_posted_date":"2026-07-29","last_verified_at":"2026-10-14T18:39:50Z","board_verified":true,"closed_at":null,"days_open":77,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":77},"description":"Principal ML Engineer\nNew York, NY (Hybrid)\nAbout the Company\nWe're building AI-native enforcement infrastructure for enterprise communication - technology that catches and fixes compliance issues in real time, before an AI-generated message ever reaches a customer or counterparty, across every channel where AI represents the business. Most existing tools only flag problems after the fact, once the risk is already out the door; we intervene before send. This is a new category, and we're the ones defining it.\nWe're backed by top-tier venture capital and built by a team with backgrounds at major tech and financial firms, led by a founder who has built and scaled AI companies before.\nThe Role\nSpecialized language models sit at the core of our enforcement layer, making real-time decisions about whether a communication is safe to send. These models need to be accurate, fast, and dependable, since they operate directly in the path of live traffic.\nOur research team owns the underlying science - model behavior, training objectives, data strategy, and quality standards. You'll own the systems that turn that science into a reliable, production-grade product: the pipelines that train models reproducibly, the evaluation infrastructure that proves they work, and the serving stack that runs them at scale.\nThis is a hands-on, principal-level individual contributor role on a small, senior team. It's a systems and infrastructure role, not a research role - ideal for someone who loves making ML industrial-grade.\nWhat You'll Do\nBuild and own training pipelines: data prep, reproducible fine-tuning runs, experiment tracking, and release automation\nBuild evaluation infrastructure: automated eval runs, regression gates, dashboards, and dataset versioning\nOwn model serving in production: low-latency inference, batching, optimization, autoscaling, and cost management\nShip model updates safely with versioning, canarying, rollback, and drift monitoring\nBuild repeatable workflows for adapting models to new domains and customer needs\nConvert expert labels and reviewer feedback into clean training and evaluation datasets\nSet the technical bar for ML infrastructure as the team grows\nWhat We're Looking For\n8+ years of software engineering experience, including 4+ years building infrastructure for ML or LLM systems in production\nHands-on depth with the modern LLM stack: PyTorch, distributed training, fine-tuning at scale (LoRA, SFT), and inference engines such as vLLM or TensorRT-LLM\nExperience building eval harnesses, regression gates, or dataset pipelines, with solid understanding of precision, recall, and calibration\nProven track record owning model serving under real latency, reliability, and cost constraints - not just in notebooks\nStrong fundamentals in Python, containers, CI/CD, cloud infrastructure, and observability\nComfort with high ownership on a small team: scoping your own work, shipping weekly, and making pragmatic build-vs-buy calls\nEnjoyment of close collaboration with a research counterpart, with clear interfaces and no turf wars\nNice to Have\nExperience productionizing small or specialized language models\nExperience with structured-output serving or constrained decoding in production\nBackground in a regulated or high-stakes domain such as fintech, healthcare, legal, or trust and safety\nExperience deploying models into customer-controlled environments\nCompensation & Benefits\n$200,000-$250,000 base salary, depending on experience\nPerformance bonus and meaningful early-stage equity\nHealth, dental, and vision coverage\nHybrid work from a New York office\nCompensation\nThe base pay range for this role is $200,000 - $250,000 per year.","description_format":"text","description_chars":3678,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T07:08:51Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.45,"p_room":0.28,"age_days":77,"expected_fill_days":30,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-14T20:04:58Z"},"pay":{"stated_usd_annual":250000,"is_top_pay":true},"html_url":"https://alion.io/job/blaze-talent-principal-machine-learning-engineer","json_url":"https://alion.io/job/blaze-talent-principal-machine-learning-engineer.json","meta":{"generated_at":"2026-10-14T20:04:58Z","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":26510,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":4421824},"rest":"https://alion.io/mcp/rest/get_company?id=4421824"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fblaze-talent-principal-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%2Fblaze-talent-principal-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%2Fblaze-talent-principal-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/blaze-talent-principal-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fblaze-talent-principal-machine-learning-engineer"}]}