Credit Acceptance · 2 days ago
Principal Engineer, ML/AI Platform
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Financial Services
Comp. & BenefitsH1B Sponsor Likely
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Responsibilities
Develop, maintain, and enhance reusable frameworks for AI/ML model development and deployment while establishing and driving best practices in machine learning engineering and Operations.
Partner with the Cloud Engineering team in the strategic execution, including the road mapping and the technical designs for the feature, training, serving infrastructure, and underlying operational infrastructure that provides incremental delivery and impact.
Design, advocate, and implement cutting edge technologies for availability, scalability, operational excellence, and cost management while delivering incrementally.
Collaborate closely with the ML and Tech Delivery Engineers, and Business Ops and Product Managers to understand their needs and identify opportunities to improve the efficiency of the AI/ML process.
Closely follow industry and academic developments in the SOTA for the AI lifecycle and ML Systems domain’s and adopt technology that is the best fit for business and industry needs
Partner, mentor and/or educate ML and Data Engineers on current and up and coming tools and technologies for ML operations through presentations and documentation.
Help design and architect an AI platform that adheres to the principles of responsible AI and simplifies privacy compliance.
Utilize your deep understanding of data characteristics, model architectures, optimization techniques, or other ML domain-specific challenges to perform critical analysis of modeling results
Lead build vs buy discussions on technologies that would underpin the feature, training, and serving layers.
Conduct technical interviews with well-calibrated standards and play an essential role in recruiting activities.
Effectively onboard and mentor junior engineers and/or interns
Qualification
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Required
Bachelor’s Degree in Computer Science, Math, or equivalent real-world experience
Bachelor’s Degree with 8+ years or Master’s Degree with 6+ years or PhD with 4+ years of working high-scale distributed or ML platforms or systems for training, deploying complex ML models by employing SOTA techniques in the area of distributed training and deployment for real-time and batch processing, and managing dev-ops tools such as Kubernetes
Expertise in using Python, Java or C++ and deploying on cloud platforms such as AWS, Azure, or GCP
Strong expertise in writing production-quality code and setting standards for code quality across engineering teams
Experience in driving technical strategy and vision for engineering teams and organizations
Leadership experience in planning and execution of cross-functional initiatives and projects with a track record of efficiently solving complex problems collaboratively on larger teams
In-depth understanding of SDLC and best practices - CI/CD, coding, debugging, optimization, testing, integration and deployment
Experience working on scaling challenges associated with building LLMs and/or other large foundational models
A problem solver with attention to detail, a passion for truth, and openness to dealing with unknown while wearing many hats
Benefits
401(K) match
Adoption assistance
Parental leave
Tuition reimbursement
Comprehensive medical/ dental/vision
Many nonstandard benefits that make us a Great Place to Work
Company
Credit Acceptance
Credit Acceptance is an indirect finance company that helps eligible consumers restart financially.
H1B Sponsorship
Credit Acceptance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (9)
2022 (31)
2021 (22)
2020 (22)
Funding
Current Stage
Public CompanyTotal Funding
$1.5B2024-09-19Post Ipo Debt· $100M
2024-03-28Post Ipo Debt· $500M
2024-02-16Post Ipo Debt· $100M
Recent News
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2024-06-05
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