Credit Acceptance
Staff Machine Learning Engineer, Platform (MLOPS)
USA - Remote · Staff+
Sponsorship not specified$154k-$226kDetected 20 days ago
PythonExpressCode ReviewSQLDatabricksAWSCI/CDSite Reliability EngineeringMachine LearningData EngineeringLLMsMLOpsStatisticsIncident ResponseUnityLeadershipCommunication
Stay score
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.
Community outcomes
No reports yet — be the first to help the next applicant.
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.
Requirements
- Working knowledge of how LLM and GenAI workloads differ operationally from traditional ML: token cost and latency behavior, caching and batching, non-deterministic output.
- Experience with containerization and infrastructure as code.
- Ability to communicate technical and non-technical trade-offs clearly in writing to an audience that includes both engineers and non-engineers.
- Production experience with GPU-backed model serving, including autoscaling behavior under concurrent load, cold-start management and cost control.
- Experience with OpenTelemetry and an enterprise observability platform such as Dynatrace, including instrumenting AI workloads rather than only conventional services.
- Experience with model serving efficiency techniques: quantization, parameter-efficient fine-tuning, distillation or inference optimization.
- Experience with data governance and access control on a lakehouse platform, such as Databricks Unity Catalog.
- Experience operating AI systems in a regulated industry, particularly financial services, including auditability, retention and access-control requirements.
- Experience with agentic or multi-step AI systems in production, including tracing and debugging multi-turn behavior.
- Hands-on experience with a managed agent or tool gateway, such as AWS Bedrock AgentCore Gateway, and with running MCP servers in a governed environment.
Nice to have
- Hands-on experience with a cloud ML platform in production.
- AWS and Databricks strongly preferred, including model serving, job orchestration, and a model registry or experiment tracking system such as MLflow.
Compensation
- A competitive base salary range from $154,120 to $226,042.
- This position is eligible for an annual variable bonus of cash and equity, between 10-20%.
- 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
Company info
- Competencies: The following items detail how you will be successful in this role. - Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers.
- 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.
Apply directly at Credit Acceptance →Create a free account for alerts like thisView Credit Acceptance immigration profile
This listing is sourced directly from Credit Acceptance's careers page and normalized into a canonical job model.