{"id":19067,"url":"https://alion.io/job/blissway-inc-chile-based-machine-learning-engineer","title":"Machine Learning Engineer","company":{"id":5453,"name":"Blissway","domain":"blissway.com","url":"https://alion.io/company/blissway-inc","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":11,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":96,"computed_at":"2026-11-02T06:13:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Denver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":145000,"max":195000,"currency":"USD","period":"year","gross":null,"usd_annual":195000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Embeddings","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-07-07T22:32:56Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-11-02T02:49:06Z","board_verified":true,"closed_at":null,"days_open":117,"trust":{"level":"ok","repost_count":1,"flags":["company_stale"],"days_open":117},"description":"Work at Blissway: Opportunity for Impact Every Day\nBlissway is a startup that simplifies toll collection and dramatically improves highway safety. We are multiple startups in one: Deep Tech, AI/ML, Hardware, SaaS, and IoT. For the past five years, we have built a nearly insurmountable technological lead in tolling, a roughly $200B global industry expected to double in the next decade. We work for toll authorities and state DOTs, and we own the whole system, from the roadside camera to the final bill, so every vehicle we see becomes one accurate toll transaction and nothing more. While our competitors have thousands of employees, we operate with a lean but growing team of less than 30. Our impact is visible on the massive Interstate Highway System connecting every major US metro (except Juneau, AK-sorry, Juneau).\nYou are a good fit if...\nYou love the grind: You take ownership and put in the time to meet deadlines. Our recent team survey showed an average of 55 hours/week, with occasional 70+ hour bursts for major releases.\n\nYou are detail obsessed: You have experience writing code, designing or building systems that stands up to the unpredictability of the physical world, where the small details are the difference between success and failure.\n\nYou are adaptable: We are a lean team. If you only want to work on a \"niche thing\" or are uncomfortable helping other teams when they need a boost, this isn't the place for you. We expect you to figure out what you need to get stuff done.\n\nYou code really well: We mostly use Python and TypeScript, but we don’t care what you’re most proficient in today-as long as you learn fast.\n\nYou value working together in person: You’re excited to work alongside the team at our Denver office. This role is in-office on Mondays, Wednesdays, and Fridays, with flexibility to work remotely on Tuesdays and Thursdays.\n\nThe Mission: Every image on our system has one job: completing an accurate toll transaction through a billing system we run end to end. You are the engineer who ships the model, not just the one who trains it. We process 11 million images every single day, running detection, segmentation, classification, embeddings, and re-identification to match each vehicle to its toll. You will own the full arc: raw sensor data to production inference, dataset curation to deployment monitoring, cloud to edge. This role is for the engineer who sees a model sitting in a notebook and feels the itch to put it to the test, or in this case, on the road.\nThe Work\nOwn the Whole Pipeline: You decide which problems are worth solving, then take them from raw sensor data all the way to production: collection, dataset curation, training, deployment, monitoring, and iteration. We wire it all together and run our own servers, so the pipeline is yours end to end.\n\nReal Hardware in the Real World: We own the devices in the field. This means any idea you have can actually get built and tested on real roads.\n\nVision at Real Scale: We process 11 million images every single day, running detection, segmentation, classification, embeddings, and re-identification across everything in the frame: vehicles, license plates, wheels, even lane markings. Beyond images, we have multiple other sensors on the road pulling in different data making the problem space wide open. At this volume, the right model can drastically improve accuracy and cut cost at the same time.\n\nClassical CV to Custom SOTA: Our toolbox spans the full range, from traditional computer vision algorithms to custom-trained state-of-the-art models (detection, segmentation, embeddings, classifiers). You pick the right tool, and when nothing off-the-shelf is good enough, you train your own.\n\nBuild the Best Models That Exist: We read the papers, go to the conferences, and hold our work to the current frontier. ML has become essential to Blissway over the past year, and this team is where that bet gets made real.\n\nEdge and Cloud: Most of our compute lives in the cloud where power is effectively unlimited. We're now pushing more inference onto the roadside hardware itself, a completely different problem: the models have to be fast, small, and power-efficient without giving up accuracy. You'll work both sides of that constraint.\n\nHow We Handle Data: We work only for toll authorities and state DOTs, on legislatively authorized toll roads. The laws governing our work prohibit keeping data unless it's used to charge a toll. There is no search-by-plate interface, no cross-agency lookup network, and no standing law enforcement access. Data leaves our system only through the same legal process that applies to any company's billing records.\n\nRequirements\nExperience: 2 to 6 years of full-time software engineering experience with a focus on machine learning and/or computer vision. We want someone with true end-to-end experience: you've taken models from raw data to production and owned what happens after they ship.\n\nBoth Sides: Strong software engineering fundamentals plus hands-on ML. You write production-quality code and you train and debug models. The two overlap, and we want someone comfortable across both.\n\nFull Lifecycle: You've owned models beyond the notebook: trained, deployed, monitored, and iterated in production.\n\nReal CV depth. Experience with modern computer vision and the judgment to know when a classical technique beats a heavy model. You're not reaching for a transformer when a filter will do.\n\nThe Interview Process\nWe're a selectively small team, which means a deliberate and thorough interview process with 3-4 interviews and a final paid work trial. In exchange, you get real autonomy from day one, direct access to the people setting technical direction, and work that ships to roads in weeks, not quarters.\nThe Essentials (Health & Wealth)\nRelocation Support: We are excited for you to join the team at our engineering office in Denver. We value in-person collaboration and daily team lunches and we provide a relocation bonus to help you get here.\n\nPersonalized Health Coverage (ICHRA): We don’t believe in one-size-fits-all healthcare. We provide a monthly allowance for you and dependents so you can choose the individual plan that actually fits your life.\n\nInvesting in Your Future: 401(k) matching up to 4%.\n\nPeace of Mind: Transparent compensation. Company-sponsored life & disability insurance.\n\nEarly Stage Equity: Competitive equity package. Every year, we facilitate a tender process that gives you the opportunity to sell your vested shares at the same valuation as our investors.\n\nRest & Recharge\nHigh-Trust Time Off: 4 weeks of untracked PTO. We don't micromanage your calendar; we focus on your impact. Take the time you need to stay sharp and inspired.\n\nFamily First: 12 weeks of paid parental leave for birth and adoptive parents. We want you present for the moments that matter most.\n\nThe Deep Breath (Sabbatical): Every 5 years, take 12 weeks of fully paid leave. Go travel, write a book, or master a new hobby-then come back and tell us all about it.\n\nFuel & Community\nThe Blissway Kitchen: Whether it’s breakfast to start your day or our daily group lunches, we keep the team fueled.\n\nSnacks Autonomy: Our kitchen is fully stocked and we mean it-if we’re missing your favorite fuel, just add it to the request list.\n\nThe \"BlissTrip\": An annual 4-day getaway for the team and significant others.\n\nMonthly Beats: Game nights, escape rooms, and dinners to celebrate the grit we put in.\n\nContinuous Learning: Tuition reimbursement for courses, programs, and conferences that sharpen your craft.","description_format":"text","description_chars":7574,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Transport Infrastructure","Smart Mobility"],"lifecycle":[{"event":"open","at":"2026-07-07T22:32:56Z"},{"event":"close","at":"2026-08-27T01:25:48Z"},{"event":"reopen","at":"2026-09-05T01:25:56Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 3","filings_12m":3,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":147500,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":3}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.593,"p_room":0.44,"age_days":117,"expected_fill_days":96,"reasons":["conf:3","win:tail","crowd:junior"],"computed_at":"2026-11-02T06:13:15Z"},"pay":{"stated_usd_annual":195000,"is_top_pay":false},"html_url":"https://alion.io/job/blissway-inc-chile-based-machine-learning-engineer","json_url":"https://alion.io/job/blissway-inc-chile-based-machine-learning-engineer.json","meta":{"generated_at":"2026-11-02T06:27:24Z","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":9312,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"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":5453},"rest":"https://alion.io/mcp/rest/get_company?id=5453"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fblissway-inc-chile-based-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%2Fblissway-inc-chile-based-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%2Fblissway-inc-chile-based-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/blissway-inc-chile-based-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fblissway-inc-chile-based-machine-learning-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":19067}},{"tool":"search_jobs","arguments":{"company":"blissway.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":19067},"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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