{"id":25507,"url":"https://alion.io/job/clear-corporate-machine-learning-engineer-ii","title":"Machine Learning Engineer II","company":{"id":6864,"name":"CLEAR","domain":"clearme.com","url":"https://alion.io/company/clear-corporate","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":10,"ghost_share":0,"stale_share":0.9,"repost_share":0,"time_to_fill_p50_days":33,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":180000,"max":220000,"currency":"USD","period":"year","gross":null,"usd_annual":220000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"AWS","optional":true},{"name":"dbt","optional":true},{"name":"MLFlow","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Python","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-07-27T18:30:45Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-21T22:42:49Z","board_verified":true,"closed_at":null,"days_open":86,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":86},"description":"CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier-physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences.\nWe’re looking for an experienced Machine Learning Engineer to help us build the next generation of products which will go beyond just ID and enable our members to leverage the power of a networked digital identity. As a Machine Learning Engineer at CLEAR, you will participate in the design, implementation, testing, and deployment of applications to build and enhance our platform - one that interconnects dozens of attributes and qualifications while keeping member privacy and security at the core. \nA brief highlight of our tech stack:\nPython / Postgres / Snowflake / dbt\nAWS SageMaker and MLflow\nWhat you'll do:\nOwn and drive the foundational work of a ML system at CLEAR\nDesign, build and deploy ML models for various applications, such as document and image processing, fraud detection.\nDevelop and implement robust data pipelines at a variety of scales, including collection, pre-processing, transformation, and feature engineering\nPartner with product and other stakeholders to uncover requirements, to innovate, and to solve complex problems\nHave a strong sense of ownership, responsible for architectural decision-making and striving for continuous improvement in technology and processes at CLEAR\nWhat you're great at:\n3+ years of experience building, operating and scaling ML models for consumer applications, particularly those with experience building end-to-end systems\nExperience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance\nExpertise in best practices for feature engineering, model development/deployment and monitoring\nArticulating technical concepts to a mixed audience of technical and non-technical stakeholders\nCollaborating and mentoring less experienced members of the team\nComfort with ambiguity \nCuriosity about technology, believe in constant learning, and ability to be autonomous to figure out what's important\n How You'll be Rewarded:\nAt CLEAR we help YOU move forward - because when you’re at your best, we’re at our best. You’ll work with talented team members who are motivated by our mission of making experiences safer and easier. In our offices, you’ll enjoy benefits like meals and snacks. We invest in your well-being and learning & development with our stipend and reimbursement programs. \nWe offer holistic total rewards, including comprehensive healthcare plans, family building benefits (fertility and adoption/surrogacy support), flexible time off, free OneMedical memberships for you and your dependents, and a 401(k) retirement plan with employer match. \nThe total compensation range for this role is $180,000 - $220,000, depending on levels of skills and experience.\nThis range represents the combined base salary, and new hire equity package (in Restricted Stock Units) for this position at CLEAR. Additionally, this role will be eligible for refresh equity grants as part of our ongoing compensation program. Actual compensation will vary based on factors including, but not limited to, location, education, skills, experience, and performance. All stock based compensation will be subject to the terms and conditions of applicable agreements\nCLEAR provides reasonable accommodation to qualified individuals with disabilities or protected needs. Please let us know if you require a reasonable accommodation to apply for a job or perform your job. Examples of reasonable accommodation include, but are not limited to, time off, extra breaks, making a change to the application process or work procedures, policy exceptions, providing documents in an alternative format, live captioning or using a sign language interpreter, or using specialized equipment.\nWe are committed to a transparent and secure hiring process. All communications related to this role will come directly from a CLEAR employee through valid CLEAR channels (e.g., a valid @clearme.com email address or verified CLEAR LinkedIn profile). We encourage candidates to remain alert to job scams and to report any suspicious activity.\nQualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or other characteristics protected by law.\n #LI-Onsite","description_format":"text","description_chars":4701,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible time off","Restricted stock units","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Identity Management"],"lifecycle":[{"event":"open","at":"2026-07-27T18:30:45Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.348,"p_room":0.28,"age_days":85,"expected_fill_days":33,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":220000,"is_top_pay":true},"html_url":"https://alion.io/job/clear-corporate-machine-learning-engineer-ii","json_url":"https://alion.io/job/clear-corporate-machine-learning-engineer-ii.json","meta":{"generated_at":"2026-10-22T01:51:58Z","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":1166,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":6864},"rest":"https://alion.io/mcp/rest/get_company?id=6864"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fclear-corporate-machine-learning-engineer-ii"},{"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%2Fclear-corporate-machine-learning-engineer-ii"},{"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%2Fclear-corporate-machine-learning-engineer-ii"},{"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/clear-corporate-machine-learning-engineer-ii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fclear-corporate-machine-learning-engineer-ii"}]}