{"id":1956609,"url":"https://alion.io/job/latitude-ai-senior-engineering-manager-scalable-machine-learning","title":"Senior Engineering Manager - Scalable Machine Learning","company":{"id":9305,"name":"Latitude AI","domain":"lat.ai","url":"https://alion.io/company/latitude-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":6,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Palo Alto, United States","Pittsburgh, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":253120,"max":379680,"currency":"USD","period":"year","gross":null,"usd_annual":379680},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Computer Vision","optional":false},{"name":"HPC","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Dagster","optional":true},{"name":"PyTorch","optional":true},{"name":"Ray","optional":true}],"status":"live","first_seen_at":"2026-10-06T12:50:56Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-22T03:58:30Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Latitude AI (lat.ai) is building the future of Ford’s autonomy roadmap to make travel safer, less stressful, and more enjoyable for everyone. Bringing this vision to scale, our fully in-house developed hands-free ADAS platform will debut on the all-new Ford Fathom in 2027. \nWhen you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering - all dedicated to redefining the relationship between people and their vehicles for millions of customers.\nAs a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.\nMeet the team:\nIn the Intelligent Systems team, we convert photons into understanding, primarily via computer vision and machine learning. Our organization is responsible for all downstream tasks of the vehicle sensor suite onboard, as well as the full offboard/cloud infrastructure for machine learning at Latitude.\nWhat you’ll do: \nScaling our machine learning models with data and fast infrastructure is vital to achieve optimal performance and to enable a safer and more sustainable future of transportation. The Scalable ML team builds the data generation, orchestration, and distributed training infrastructure that lets our ML developers work efficiently with large volumes of data, and it sits at the intersection of several infrastructure teams: ML Platform, Jobs Platform, Cloud Platform, and High Performance Computing.\nIn this role, you will manage the Scalable ML team while also setting the technical strategy for how our data and training infrastructure interoperates with those adjacent platform teams. This is a job for someone who can both run a high-performing engineering team and act as the technical bridge across organizations that do not report to them.\nLead and mentor a team of software engineers, driving high technical standards and continuous skill development for scalable machine learning infrastructure.\nDefine and own the multi-quarter technical strategy for data generation, orchestration, and distributed training, including where that strategy depends on or shapes the roadmaps of other teams.\nRepresent Scalable ML team in org-level planning and architecture decisions, resolving cross-team tradeoffs on shared infrastructure such as GPU scheduling and quota, job orchestration, storage, and compute cost.\nDrive the implementation of advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies, at a standard that other teams adopt.\nBuild and maintain durable technical partnerships with peer managers and architects on ML Platform, Jobs Platform, Cloud Platform, and HPC teams to design and review shared-infrastructure changes jointly.\nHold the team and its systems to a high reliability bar, including how incidents that cross team boundaries get root-caused, fixed, and prevented.\nWhat you'll need to succeed:\nA Bachelor's and 10 years experience or Master's Degree and 8 years experience in Computer Engineering, Computer Science, Electrical Engineering, Robotics, or a related field.\nMinimum of 10 years of experience in software development, with at least 5 years in a Staff/Principal engineering or senior technical leadership role.\nA track record of setting technical strategy and direction across multiple teams or organizations, not just within a single team.\nExtensive experience designing, building, and operating large-scale distributed systems and cloud infrastructure for machine learning, including direct experience with the kind of cross-team dependencies that come from shared compute (GPU scheduling/quota, job orchestration, multi-tenant clusters).\nProven expertise in developing and optimizing machine learning data pipelines, including data generation, management, and distributed training.\nStrong proficiency in Python for developing high-performance, production-quality software.\nDemonstrated ability to influence and align peer teams and leaders without direct authority over them.\nTrack record of successfully delivering complex, multi-org software initiatives from conception to production, emphasizing scalability, reliability, and organizational alignment.\nNice to have (optional):\nMaster's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field.\nHands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow.\nExperience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications.\nFamiliarity with safety-critical software development principles in automotive or robotics domains.\nDeep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy.\nWhat we offer you:\nCompetitive compensation packages\nHigh-quality individual and family medical, dental, and vision insurance\nHealth savings account with available employer match\nEmployer-matched 401(k) retirement plan with immediate vesting\nEmployer-paid group term life insurance and the option to elect voluntary life insurance\nPaid parental leave and Adoption/Surrogacy support program\nPaid medical leave\nUnlimited vacation and 15 paid holidays\nDaily lunches, snacks, and beverages available in all office locations\nPre-tax spending accounts for healthcare and dependent care expenses\nPre-tax commuter benefits\nMonthly wellness stipend\nBackup child and elder care program\nProfessional development reimbursement\nEmployee assistance program\nDiscounted programs that include legal services, identity theft protection, pet insurance, and more\nCompany and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives\nLearn more about Latitude’s team, mission and career opportunities at lat.ai!\nThe expected base salary range for this full-time position in California is $253,120 - $379,680 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.\nCandidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.\nWe are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.","description_format":"text","description_chars":7043,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Parental leave","Professional development","Retirement plans","Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Autonomous Driving","Smart Mobility"],"lifecycle":[{"event":"open","at":"2026-10-06T13:14:03Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 41","filings_12m":41,"filings_prev_12m":48,"green_card_filings_12m":0,"median_offered_wage_usd":167500,"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)"],"filings_for_role_12m":29}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":14,"expected_fill_days":35,"reasons":["conf:2","velocity","win:mid"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":379680,"is_top_pay":true},"html_url":"https://alion.io/job/latitude-ai-senior-engineering-manager-scalable-machine-learning","json_url":"https://alion.io/job/latitude-ai-senior-engineering-manager-scalable-machine-learning.json","meta":{"generated_at":"2026-10-22T04:45:43Z","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":5271,"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":9305},"rest":"https://alion.io/mcp/rest/get_company?id=9305"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Flatitude-ai-senior-engineering-manager-scalable-machine-learning"},{"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%2Flatitude-ai-senior-engineering-manager-scalable-machine-learning"},{"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%2Flatitude-ai-senior-engineering-manager-scalable-machine-learning"},{"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/latitude-ai-senior-engineering-manager-scalable-machine-learning\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Flatitude-ai-senior-engineering-manager-scalable-machine-learning"}]}