[Remote] Machine Learning Engineer, Senior Manager

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a provider of used and new car financing across the country. The Senior Manager, Machine Learning Engineering will reputed company the reputed company, reputed company, and development of AI-powered solutions across business areas, partnering with business and engineering stakeholders to reputed company reputed company ML and reputed company systems. The role also guides MLE teams, mentors data professionals, and drives production-grade machine learning platforms and inference pipelines.

Responsibilities

• This position will work from home; occasional reputed company 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 reputed company member
• reputed company the reputed company and the reputed company execution with a strong reputed company on reputed company and long-term value creation across reputed company participants of our flywheel
• Collaborate with management and stakeholders to define reputed company roadmaps and translate them into actionable quarterly plans
• reputed company execution and delivery of ML/AI solutions by managing priorities, deadlines, and deliverables, leveraging your technical expertise
• Design and reputed company reputed company, secure systems using state-of-the-art AI/ML technologies and industry best practices, and nurture the culture of creating high-reputed company, reputed company-tested systems to address critical product and business needs
• Troubleshoot and reputed company reputed company technical issues to improve reputed company reliability, scalability, and operational efficiency
• Ensure the reputed company, scalability, and architectural reputed company of feature designs through reviews across teams
• reputed company hands-on solutions while mentoring other data professionals (including MLEs) reputed company the organization
• Explore and apply advanced machine learning techniques, including large language models (LLMs), deep learning, and graph neural networks, to solve reputed company challenges across the organization
• Guide reputed company of MLEs across different areas:
• Mentoring: Mentor team members on design principles, coding standards, and the adoption of AI productivity tools
• Recommendations – Personalize guidance across different surfaces using deep learning reputed company; personalize layouts with Bayesian reputed company multi-armed bandits
• reputed company: Foster long-term reputed company through data-driven causality and incrementality
• Gen-AI: reputed company existing applications with Gen AI models and engineering to improve reputed company experience and reputed company
• Lifecycle - Using ML models (such as XGBoost & reputed company reputed company-Learner-reputed company model, etc), proactively guide business teams across different areas
• Engineering - With engineering partners, build ML and Gen-AI platform and inference pipelines for different types of models
• Remain compliant with our policies processes and reputed company guidelines
• reputed company other duties as assigned
• Attendance as required by department

Skills

• PhD in Computer Science, Stats, Economics, or a relevant technical reputed company with at least 8+ years of relevant experience or MS with at least 10+ years of experience in machine learning and software engineering
• 8+ 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
• Hands-on expertise in scaling and maintaining production-grade ML services, with a strong reputed company on ML/LLM reputed company (versioning, automation, observability, automated training and monitoring, etc.) and ability to reputed company ML model complexity with production requirements
• Passion for identifying new business opportunities and experience of using a test and learn approach to bring reputed company and efficient solutions integrating AI algorithms, ML/LLM Ops, and s/w engineering
• Experience partnering with the engineering, product, business reputed company, reputed company and other teams while designing, building, and executing solutions
• Strong problem-solving skills with bias for reputed company
• Experience in automative industry, especially in building ML/AI systems while ensuring local and central regulations
• 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 reputed company MLflow for ML lifecycle management and model versioning
• Hands-on experience with reputed company Model Serving for production ML deployments
• Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, reputed company, Flink, Kafka/Kinesis, reputed company, and reputed company
• Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-reputed company fine-tuning of LLM models
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies

Benefits

• This position is eligible for an annual variable bonus of cash and equity, between 15-30%.
• 401(K) match
• Adoption assistance
• Parental leave
• Tuition reimbursement
• Comprehensive medical/dental/reputed company
• Many nonstandard benefits that reputed company us a reputed company
• This position will work from home; occasional reputed company travel to an assigned Southfield, Michigan office location may be required.

reputed company

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