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Staff Machine Learning Engineer
126,851 - 259,341 USD
Credit Acceptance
West 12 Mile Road 25505, Remote + Remote (US)
126,851 - 259,341 USD
Requirements
Must:
- I hold a PhD in Computer Science, Statistics, Economics, or a relevant technical field with at least 3+ years of relevant experience, or a Master's degree with at least 5+ years of experience.
- I have 6+ years of experience building and deploying Deep Learning models, including Reinforcement algorithms and Recommendation systems, with a solid understanding of the mathematics, advanced statistics, and engineering behind building this infrastructure.
- I possess hands-on experience with building, fine-tuning, and deploying multi-modal LLM Models, managing the end-to-end model lifecycle.
- I have experience partnering with engineering, product, BizOps, and other data teams while designing, building, and executing solutions.
- I have a deep understanding in at least three of the following areas: data mining, advanced statistics, machine learning, NLP, or computer vision.
- I demonstrate strong problem-solving skills with a bias for action.
Technologies
Exposed
Kubeflow
Machine Learning
Responsibilities
- In my role, I will work from home, with occasional planned travel to our assigned Southfield, Michigan office location, and I may also choose to work from the Southfield office if desired.
- I will identify and build solutions for various GenAI problems and manage the end-to-end lifecycle from scoping and adaptation to application integration, monitoring, and performance management.
- I will investigate machine learning methodologies, including deep learning, LLM, and graph neural networks, to address diverse challenges across different business verticals and customers.
- I will build and deploy contextual chatbots and analytical tools, providing bespoke responses to both internal and external customers across different platforms.
- I will develop LLM models that are trained and fine-tuned on internal multi-modal data (e.g., documents, policies, PDFs, graphs, text, etc.) to solve a new set of problems.
- As the overall owner of many open-ended problems, I will foster a culture of widespread ML utilization.
Description
At Credit Acceptance, we take pride in being an award-winning company recognized for our workplace culture both locally and nationally. Our Engineering and Analytics team thrives on using the latest technology to develop, monitor, and maintain practices that optimize our success. We encourage our Team Members to express their ideas, embrace challenges, and achieve a healthy work-life balance.
As part of our ML/AI team, I will have the opportunity to lead the development of AI-powered solutions that modernize the auto-lending industry. I will collaborate with various functions within our business to drive strategic decisions and contribute to our culture of professional development and continuous improvement, all while enjoying a casual work environment named a Great Place to Work.
In terms of compensation, I can expect a competitive base salary along with an annual variable bonus ranging from $126,851 to $259,341, with potential eligibility for a sign-on RSU grant. I will also be welcomed with an excellent benefits package that includes a 401(K) match, adoption assistance, parental leave, tuition reimbursement, and comprehensive medical, dental, and vision coverage.
Our values promote a positive and respectful culture that fosters innovation and accountability. We are committed to providing an inclusive working environment and are proud to be an Equal Opportunity Employer.
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The company with most openings is Leidos as they are hiring for 433 different ML, AI Developer jobs in the United States. They are probably quite committed to find good ML, AI Developers.