Credit Acceptance
Machine Learning Engineer, Senior Manager
USA - Remote · Senior
Sponsorship not specified$184k-$270kDetected 30 days ago
ExpressAlgorithmsSnowflakeDatabricksGraphQLgRPCKafkaMachine LearningDeep LearningSparkAirflowData ScienceNLPLLMsLLMOpsMLOpsStatisticsA/B TestingComplianceLeadershipCommunicationProblem SolvingMentoring
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 318 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- 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.
Responsibilities
- Shared goals, open communication and mutual support create a sense of collective purpose.
- Train team members and focus on developing talent
- Performance Manage by ensuring accountability and driving results
- Create the Right Environment by establishing trust and managing conflict
- Maintain the Right Number of team members needed to build an effective team
Requirements
- Passion 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
- Experience in model interpretability and responsible AI practices.
- Expertise in data science, advanced experimentation and visualization techniques.
- Experience in designing and implementing pipelines using DAGs (e.g., Kubeflow, DVC, Ray)
- Ability to construct batch and streaming microservices exposed as gRPC and/or GraphQL endpoints
- Experience with Databricks MLflow for ML lifecycle management and model versioning
- Hands-on experience with Databricks Model Serving for production ML deployments
- Proficiency 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
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies
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%.
- Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications.
Benefits
- Excellent 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
- To create an environment where people do their best work, we focus on the dimensions of Organizational Health.
Company info
- We are seeking a highly motivated and experienced Leader of ML and AI Engineering within the AI team.
- We're proud of our culture and are happy to share why - let's talk!
- As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce.
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This listing is sourced directly from Credit Acceptance's careers page and normalized into a canonical job model.