Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
About the role
- Machine Learning Engineer at Red Hat focused on AI model optimization and collaboration with research teams. Developing software for LLM training and deployment in enterprise settings.
Responsibilities
- Contribute to the design, development, and testing of various inference optimization algorithms in the LLM-compressor, Speculators, and vLLM projects.
- Design, implement, and optimize model compression pipelines using techniques such as quantization and pruning.
- Develop and maintain speculative decoding frameworks to improve inference speed while maintaining model accuracy.
- Collaborate closely with research scientists to translate experimental ideas into robust, production-ready systems.
- Profile and optimize end-to-end LLM performance, including memory usage, latency, and throughput.
- Benchmark, evaluate, and implement strategies for optimal performance on target hardware.
- Build tools to streamline model training, evaluation, and deployment.
- Participate in technical design discussions and propose innovative solutions to complex problems.
- Contribute to open-source projects, code reviews, and documentation; collaborate with internal and external contributors.
- Mentor and guide team members, fostering a culture of continuous learning and innovation.
- Stay current with LLM architectures, inference optimizations, quantization research, and CPU/GPU hardware advancements.
Requirements
- Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM Inference Optimizations and NLP
- Experience with tensor math libraries such as PyTorch and NumPy
- Strong programming skills with proven experience implementing Python based machine learning solutions
- Ability to develop and implement research ideas and algorithms
- Experience with mathematical software, especially linear algebra
- Understanding of Linear Algebra, Gradients, Probability, and Graph Theory
- Strong communications skills with both technical and non-technical team members
- BS, or MS in computer science or computer engineering or a related field.
- A PhD in a ML related domain is considered a strong plus.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.
Senior Platform/MLOps Engineer designing and maintaining scalable infrastructure for AI at Bright Machines. Join a team transforming manufacturing through intelligent automation.
CO
AI/ML Risk Guide enhancing risk management within Capital One's Tech and Product teams. Collaborating on risk solutions that impact customer experience and stability.
Staff Machine Learning Engineer developing content and creator classification systems for Patreon’s platform insights. Collaborating across teams to enhance discovery and recommendations for creators and fans.
Machine Learning Co - op working on sales and collection AI chatbot projects at Lendbuzz. Gaining experience with data annotation, cleaning, and multilingual model evaluation.
AI Prompt Senior Engineer developing and optimizing large language models for TIAA. Collaborating cross - functionally to create innovative AI solutions with a focus on data science.
Machine Learning Engineer transforming research - driven models into scalable systems. Join Shalion in an international team focused on e - commerce intelligence.
Team Lead Machine Learning overseeing production systems for sustainability analytics using satellite imagery and ML. Leading a technical team to drive innovative geospatial solutions.