{"id":755561,"url":"https://alion.io/job/built-robotics-ai-ml-engineer","title":"AI & ML Engineer","company":{"id":171747,"name":"Built Robotics","domain":"builtrobotics.com","url":"https://alion.io/company/built-robotics","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":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":140000,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Sensor Fusion","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-05-14T02:09:09Z","employer_posted_date":"2026-05-14","last_verified_at":"2026-10-30T01:53:44Z","board_verified":true,"closed_at":null,"days_open":169,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":168},"description":"WHO WE ARE\nBuilt Robotics’ mission is to build the robots that build the world. By automating repetitive tasks in the $300 billion solar industry, Built is bridging the workforce gap to accelerate our transition to clean energy.\nWHAT YOU’LL DO\nDesign and develop edge machine learning systems that to improve the autonomy and safety of our construction robots\n\nBuild scalable ML infrastructure for model training, validation, deployment, and monitoring\n\nDevelop and optimize computer vision and sensor fusion models for construction environments\n\nAnalyze large-scale operational datasets to improve model performance and reliability\n\nImprove object recognition, scene understanding, and autonomous decision-making systems\n\nIntegrate cloud-based commercial and open-source AI tools into our autonomy stack\n\nYOUR QUALIFICATIONS\nBS, MS, or PhD in computer science, artificial intelligence, machine learning, robotics, or related field\n\n3+ years of experience building and deploying machine learning systems\n\nExpertise in Python and ML frameworks such as PyTorch or TensorFlow\n\nExperience building distributed ML training systems and data pipelines\n\nRobotics or autonomous systems experience is a plus\n\nCOMPANY PERKS\nCompetitive salary and equity\n\n100% employer-sponsored health, dental and vision insurance - for you, your spouse and children\n\n401(k) with employer matching\n\nPaid holidays and flexible PTO\n\nTSA PreCheck\n\nGym membership\nFree catered lunch and plenty of snacks\n\nA pair of steel-toe boots\n\nABOUT THE COMPANY & ROLE\nBuilt Robotics’ mission is to build the robots that build the world. By automating repetitive tasks in the $300 billion solar industry, Built is bridging the workforce gap to accelerate our transition to clean energy.\nThe starting annual base salary range for this role is $140,000 to $185,000. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications, working location, and market demands. The total compensation package for this role may also include: equity compensation, benefits such as medical, dental and vision insurance, 401(k) matching, paid time off, cell phone and internet reimbursement and more.\nBuilt Robotics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 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