Senior Machine Learning Engineer at Pivotal Health developing ML systems for healthcare reimbursement. Collaborating across teams to build and maintain reliable, production - grade machine learning systems.
About the role
- AI/ML Engineer developing AI systems for data security at Nightfall. Collaborating with engineers and contributing to AI features.
Responsibilities
- Build and ship the AI systems that power Nightfall’s Security products.
- Work hands-on with Python to analyze data, experiment with new natural language model architectures, perform prompt and context engineering on LLMs, benchmark and monitor model accuracy, deploy models into production for real-time inferencing to support various use cases.
- Work hands-on with Go to build the microservices that ingest and process data at scale through the use of streaming infrastructure, distributed caching, and highly concurrent execution.
- Collaborate across engineering and product to turn ideas into live AI features
- Participate in the team's oncall rotation to help drive operational excellence
Requirements
- Are graduating with a BS/MS in Computer Science with rigorous coursework in Artificial Intelligence, Machine Learning, Applied Math or related field with excellent grades.
- Code fluently in Python, and Go (or C++ or Java) with a solid understanding of Data Structures and Algorithms.
- Carried out research projects or internships to solve complex problems in Natural Language Processing via the use of transformer models, LLMs or other deep learning models.
- Thrive in fast-moving, high-ownership environments.
- Are excited to learn from experienced mentors and level up quickly.
- Have authorization to work in the US.
Benefits
- Work with a tight-knit team of AI/ML builders who ship fast and mentor deeply.
- Get hands-on experience with cutting-edge AI systems at scale.
- See your models make an immediate impact in real-world security applications.
- Hybrid schedule (3 days in-office) working out of our Palo Alto headquarters right in the heart of Silicon Valley.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer working with Algorithm team on customer onboarding processes. Focus on execution and automation of models using computer vision and AI in sports industry.
Senior Machine Learning Engineer at Troveo designing and optimizing machine learning pipelines for AI video models. Collaborating with cross - functional teams to build scalable video data solutions.
Software Engineer focusing on ML infrastructure for drug discovery at Genesis AI. Leading engineering efforts to enhance scalable platforms for generative modeling and large - scale simulations.
Internship in cheminformatics and machine learning at Genesis Molecular AI, driving drug discovery projects and improving internal tools.
AI/ML Engineer developing machine learning systems for TymeX's digital banking platform. Collaborating across teams to enhance customer interaction and personalization through AI technology.
Lead Machine Learning Engineering at Foundation Health, designing and deploying production ML systems. Collaborate with teams to implement AI/ML solutions for impactful healthcare.
Staff ML Engineer at GEICO leading the design and deployment of AI applications. Collaborating with teams to ensure scalability and reliability of generative AI solutions.
Senior Staff ML Engineer serving as a technical leader for Generative AI applications at GEICO. Collaborating with engineers to design and develop high - performance AI solutions.
Senior Machine Learning Engineer working with Adobe's Generative AI Services team. Designing scalable AI systems and optimizing GPU pipelines for Adobe's suite of products.