Top Machine Learning Engineer Jobs

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Design, train, optimize, and deploy efficient on-device ML models (audio and vision) for resource-constrained products; maintain Ambiq ADKs; port and optimize customer models; apply model-efficiency techniques; produce customer-facing demos, docs, and benchmarks.

The AI/ML Engineer will implement and maintain RAG pipelines, integrate LLMs with APIs, develop REST APIs, and refine Postgres schemas, requiring a TS/SCI security clearance.

The AI/ML Engineer will develop and maintain RAG pipelines, integrate LLMs into applications, manage REST APIs, and enhance Postgres schemas while requiring active TS/SCI security clearance.

The AI/ML Engineer will implement RAG pipelines, integrate LLMs, maintain REST APIs, and design Postgres schemas for enhanced data management.

The Staff Machine Learning Engineer will develop machine learning models to enhance advertising strategies, improving relevance, ranking and customer engagement for Chewy's sponsored ads.

Design and implement VoIP infrastructure and AI-driven voice workloads, collaborate with teams, and improve software engineering practices while mentoring colleagues.

As a Staff Machine Learning Engineer, you'll enhance credit products through advanced modeling techniques, data analysis, and ML operations, supporting robust decision-making processes.

As a Staff Machine Learning Engineer, you will enhance credit modeling, manage full credit modeling stacks, and support innovations within regulated banking frameworks.

Design, implement, and deploy ML inference engines on custom FPGA/ASIC hardware. Perform HW/SW co-design with traders and researchers, optimize neural networks for low latency, and build quantization/compression tools to translate ML frameworks to RTL for rapid production deployment.

Design and develop AI solutions, manage data flow for AI deployment, optimize models, and conduct data analysis on large datasets for operational improvement.

The AI/ML Engineer designs and develops AI solutions, optimizes models, manages data flow for deployment, and conducts data analysis to enhance operational outcomes for mission operations.

Lead the architecture and strategy for Moveworks' GenAI Search Platform, focusing on search capabilities, quality processes, and cross-functional leadership to drive innovation while ensuring security and reliability.

The role involves developing an AI agent platform, building ML models, and enhancing user experiences with advanced algorithms. Collaboration and fast-paced execution are key.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

Develop and deploy AI/ML models in the pharmacy domain, focusing on Generative AI technologies and collaborating with operations and capability teams.

The AI/ML Engineer will architect solutions leveraging NLP and ML, manage cloud deployments, and enhance workflows for efficiency.

The AI/ML Engineer will develop and deploy AI solutions using Generative AI technologies, focusing on LLMs and frameworks like LangGraph and LangChain. Responsibilities include building APIs, deploying ML models on cloud platforms, optimizing solutions, and collaborating with stakeholders.

Lead the development of automated ML-driven map reconstruction systems. Architect and implement pipelines to validate and maintain map primitives, ensuring reliability across large-scale deployments.

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

As a Staff Machine Learning Engineer, lead teams in designing AI solutions, managing projects, and interfacing with clients while ensuring technical excellence and operational effectiveness.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

Lead AI/ML engineer responsible for developing and deploying AI solutions in healthcare, collaborating with teams, and designing ML models.

Lead the design and implementation of AI/ML systems, collaborating with cross-functional teams to deliver scalable solutions and mentor engineers.