{"id":4079818,"url":"https://alion.io/job/nascent-markets-applied-ml-engineer-model-rd","title":"Applied ML Engineer - Model R&D","company":{"id":1178,"name":"Nascent Markets","domain":"nascentmarkets.xyz","url":"https://alion.io/company/nascent-markets","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"US time zones","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Linear","optional":false},{"name":"Rust","optional":false},{"name":"Feature Store","optional":true},{"name":"NLP","optional":true}],"status":"live","first_seen_at":"2026-11-11T14:53:50Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T16:49:44Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Applied ML Engineer\nTheOpportunity\nYou'll own the last mile - taking promising AI/ML concepts from research and making them reliable, scalable, and production-functional. As an Applied ML Engineer at Nascent, you'll sit at the intersection of a strong R&D team and the systems that consume their work, bringing structured engineering discipline to close the gap between prototype and production. The split is roughly 75% deployment and applied engineering, 25% participating in R&D. Your job is to make things work, stay working, and scale.\nThe team is full of strong researchers and ML minds. We are targeting experience in a professional engineering environment where architecture decisions matter, task management is a given, and shared ownership of systems is how you build. You'll bring that discipline and push the team's engineering standards forward. You'll be the person who says \"here's how we'd build this properly\" and then builds it.\nYou'll thrive here if you're a builder who gets energy from taking messy, promising work and turning it into something maintainable and production-grade - and if you want to do that in a high-autonomy, performance-driven environment where your output shows up in P&L. This role is remote-first; overlap with U.S. business hours is expected.\n Responsibilities\nTake research-quality and prototype ML code from the R&D team and refactor it into production-ready, maintainable, deployable systems - closing the gap between \"it works\" and \"it runs reliably at scale.\"\n\nOwn end-to-end deployment of ML pipelines: data ingestion, feature engineering, model serving, monitoring, and reliability.\n\nIntegrate structured development practices - task management (Jira/Linear), Git workflows, code reviews, CI/CD - on a team that moves fast and needs the discipline to match.\n\nCollaborate daily with researchers and the rest of the team to translate their intent into working, observable, production systems.\n\nIdentify and call out architectural and engineering quality issues; be the voice that says \"this is how we'd do it properly\" and then does it.\n\nBuild and maintain monitoring, logging, and alerting infrastructure so the team knows when things break before the trading desk does.\n\nSupport the team's transition toward Rust-native infrastructure as the codebase evolves.\n\nAbout you\nYou came up in a real code shop - a structured, team-based engineering environment where architecture decisions were debated, code reviews were rigorous, and task management was just how work got done. Not focused on solo projects. Not academia. A professional dev environment.\n\nYou are a builder first. Research is interesting to you, but shipping is what gets you up in the morning. You take messy, promising work and make it production-grade - and you take pride in that.\n\nYou are collaborative by nature. You've worked alongside strong engineers, shared ownership of systems, and given and received hard feedback on code. You know what good looks like because you've seen it.\n\nYou have strong opinions about how software should be built, and you're not shy about expressing them - but you back it up with work, not just words.\n\nYou are curious about AI and ML systems - not necessarily an expert, but genuinely interested in how they work and eager to learn from a team that lives in this space.\n\nYou don't need all the answers handed to you. High autonomy, fast-moving environment, ambiguous problems - that's where you do your best work.\n\nFinance doesn't need to be your background, but you're curious about markets.\n\nPreferred experience\nRust proficiency or strong willingness to ramp quickly - the team is moving Rust-native and needs someone who can read and eventually contribute to Rust codebases.\n\nExposure to ML/AI concepts - model training, inference pipelines, or working alongside ML researchers - even if not as a primary specialization.\n\nExperience with NLP or text-based signal extraction as an applied engineering discipline.\n\nExperience in or curiosity about financial markets\n\nFamiliarity with MLOps tooling: experiment tracking, model versioning, feature stores, or inference serving frameworks.\n\nAbout Nascent\nFounded in 2020, Nascent exists to build, expand, and capture opportunity, in open markets and permissionless technologies. Building from a base of permanent capital, we deploy assets across a range of both liquid and long-term strategies that ensure we are among the most active users of the open financial system we are helping to build. We’ve backed 100+ early-stage teams that we believe can change markets and expand what’s possible. At Nascent, we combine that venture + market pedigree with product-grade engineering to turn research into revenue: experiments that ship fast, are evaluated rigorously, and move P&L. We focus on models, low-latency infrastructure, and resilient systems that compound performance over time.\nOur Team & Culture\nWe’re an interdisciplinary team of engineers, quants, and operators who treat skill-building like a sport. The culture is competition + curiosity: push to win, share learnings, and iterate publicly through red-teams, internal games, and post-mortems. Autonomy isn’t a perk - it’s how we ship.\nPrinciples that drive our team & work\nCompete to win\n\nExplore, experiment, play\n\nAlways be building\n\nSeek and speak truth\n\nOwn your shit.\n\n What We Offer\nThe opportunity to learn, experiment and build in an entrepreneurial environment\n\nRemote-first, distributed team with frequent in-person sprints and retreats.\n\nCompetitive total comp with strong bonus upside tied to performance.\n\nHardware & home-office stipend, conference and learning budgets.\n\nComprehensive health benefits (medical/dental/vision), life insurance.\n\nOpen vacation policy as well as flexible work hours and location\n\n16 weeks fully-paid parental leave + supported return to work.\n\nRetirement matching, open vacation policy, flexible hours.\n\nWe are an equal opportunity employer and welcome diverse perspectives.","description_format":"text","description_chars":5981,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Blockchain Infrastructure","Angel Networks & Startup Accelerators"],"lifecycle":[{"event":"open","at":"2026-11-11T16:49:44Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":33,"reasons":["conf:1","win:early"],"computed_at":"2026-11-11T18:34:51Z"},"pay":null,"html_url":"https://alion.io/job/nascent-markets-applied-ml-engineer-model-rd","json_url":"https://alion.io/job/nascent-markets-applied-ml-engineer-model-rd.json","meta":{"generated_at":"2026-11-11T18:34:51Z","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":35775,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":1178},"rest":"https://alion.io/mcp/rest/get_company?id=1178"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnascent-markets-applied-ml-engineer-model-rd"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fnascent-markets-applied-ml-engineer-model-rd"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fnascent-markets-applied-ml-engineer-model-rd"},{"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/nascent-markets-applied-ml-engineer-model-rd\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnascent-markets-applied-ml-engineer-model-rd"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4079818}},{"tool":"search_jobs","arguments":{"company":"nascentmarkets.xyz","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4079818},"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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