{"id":2412195,"url":"https://alion.io/job/creditacceptance-machine-learning-engineer-senior-manager","title":"Machine Learning Engineer, Senior Manager","company":{"id":2788494,"name":"Credit Acceptance Auto Finance","domain":"creditacceptance.com","url":"https://alion.io/company/creditacceptance","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":184354,"max":270386,"currency":"USD","period":"year","gross":null,"usd_annual":270386},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Databricks","optional":false},{"name":"DVC","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Flink","optional":false},{"name":"GraphQL","optional":false},{"name":"gRPC","optional":false},{"name":"Interpretability","optional":false},{"name":"Kubeflow","optional":false},{"name":"LLM","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Quantization","optional":false},{"name":"Ray","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Transformers","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-08-19T00:00:00Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-13T02:25:47Z","board_verified":true,"closed_at":null,"days_open":55,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":55},"description":"Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we’ve grown into a leading provider of used and new car financing across the country.\nOur Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture!\nWe are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team. The ideal candidate will have a strong technical background in decision science, machine learning, and generative AI with a proven track record in solving business problems and implementing large-scale automated solutions in partnership with the respective engineering teams. The leader will partner with business and engineering stakeholders to formulate the vision to achieve the company’s strategic goals and co-lead the roadmap to deliver innovative solutions for dealers, consumers, and team members. As a Senior Manager, MLE at Credit Acceptance, you will play a pivotal role in the success of this mission as you will lead the development of AI-powered solutions across different business areas. This involves understanding the business processes, identifying new opportunities to add value using ML/AI algorithms, and harnessing data sources to build state-of-the-art ML/AI solutions.Outcomes and Activities:\nThisposition will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member\nLead the vision and the strategic execution with a strong focus on continuous and long-term value creation across all participants of our flywheel\nCollaborate with management and stakeholders to define strategic roadmaps and translate them into actionable quarterly plans.\nDrive execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise.\nDesign and deliver scalable, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-quality, well-tested systems to address critical product and business needs.Troubleshoot and resolve complex technical issues to improve system reliability, scalability, and operational efficiency.\nEnsure the security, scalability, and architectural integrity of feature designs through reviews across teams.\nDeliver hands-on solutions while mentoring other data professionals (including MLEs) within the organization\n\nExplore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve complex challenges across the organization.\nGuide a team of MLEs across different areas:Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools.\nRecommendations - Personalize guidance across different surfaces using deep learning methods; personalize layouts with Bayesian contextual multi-armed bandits\nGrowth: Foster long-term growth through data-driven causality and incrementality\nGen-AI: Power existing applications with Gen AI models and engineering to improve downstream experience and decisions\nLifecycle - Using ML models (such as XGBoost & Causal Meta-Learner-based model, etc), proactively guide business teams across different areas \nEngineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models \n\nCompetencies: The following items detail how you will be successful in this role.\nCustomer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.\nEngineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.\nOne Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.\n Owner’s Mindset: Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.\nRequirements:\nPhD in Computer Science, Stats, Economics, or a relevant technical field with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering\n8+ years of hands-on experience designing, building and deploying AI (ML, DL, Gen-AI) models, including Reinforcement Learning algorithms, Recommendation systems, Transformers, fine-tuned LLMs, Regressions, etc., with a solid understanding of mathematics, statistics, and engineering needed to build such infrastructure \nHands-on expertise in scaling and maintaining production-grade ML services, with a strong focus on ML/LLM Operations (versioning, automation, observability, automated training and monitoring, etc.) and ability to balance ML model complexity with production requirements\nPassion for identifying new business opportunities and experience of using a test and learn approach to bring scalable and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering \nExperience partnering with the engineering, product, business operations, legal and other teams while designing, building, and executing solutions\nStrong problem-solving skills with bias for action\nPreferred\nExperience in automative industry, especially in building ML/AI systems while ensuring local and central regulations\nExperience in model interpretability and responsible AI practices.\nExpertise in data science, advanced experimentation and visualization techniques.\nExperience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray)\nAbility to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints\nExperience with Databricks MLflow for ML lifecycle management and model versioning\nHands-on experience with Databricks Model Serving for production ML deployments\nProficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks.Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models\nHands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies\n\nTarget Compensation: A competitive base salary range from $184,354 - $270,386. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.\nCandidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego.\nINDENGLP\nBenefits\nExcellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work \nOur Company Values:\nTo be successful in this role, Team Members need to be:\nPositive by maintaining resiliency and focusing on solutions\nRespectful by collaborating and actively listening\nInsightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions\nDirect by effectively communicating and conveying courage\nEarnest by taking accountability, applying feedback and effectively planning and priority setting\nTo create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must:\nIdentify the Right People by recognizing top talent\nSet Clear Expectations by managing change and directing others\nTrain team members and focus on developing talent\nPerformance Manage by ensuring accountability and driving results\nCreate the Right Environment by establishing trust and managing conflict\nMaintain the Right Number of team members needed to build an effective team\nExpectations:\nRemain compliant with our policies processes and legal guidelines\nAll other duties as assigned\nAttendance as required by department\nAdvice!\nWe understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application!\nP.S.\nWe have great details around our stats, success, history and more. We’re proud of our culture and are happy to share why - let’s talk!\nRequired degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent.\nCredit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person’s age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic.\nCalifornia Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you.\nPlay the video below to learn more about our Company culture.","description_format":"text","description_chars":11163,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Parental leave","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-13T02:25:47Z"}],"visa":[],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.728,"p_room":0.55,"age_days":55,"expected_fill_days":39,"reasons":["conf:3","win:tail"],"computed_at":"2026-10-13T05:41:09Z"},"pay":{"stated_usd_annual":270386,"is_top_pay":true},"html_url":"https://alion.io/job/creditacceptance-machine-learning-engineer-senior-manager","json_url":"https://alion.io/job/creditacceptance-machine-learning-engineer-senior-manager.json","meta":{"generated_at":"2026-10-13T05:41:09Z","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":8686,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-14T00:00:00Z"}},"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":2788494},"rest":"https://alion.io/mcp/rest/get_company?id=2788494"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcreditacceptance-machine-learning-engineer-senior-manager"},{"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%2Fcreditacceptance-machine-learning-engineer-senior-manager"},{"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%2Fcreditacceptance-machine-learning-engineer-senior-manager"},{"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/creditacceptance-machine-learning-engineer-senior-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcreditacceptance-machine-learning-engineer-senior-manager"}]}