Top Machine Learning Engineer Jobs

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

The Machine Learning Engineer II will enhance legal workflows at Chewy by identifying inefficiencies, designing AI solutions, automating processes, and ensuring successful adoption of new tools.

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

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

Responsible for shipping production ML systems, designing robust architectures, maintaining data pipelines, and collaborating to translate product goals into ML solutions.

The role focuses on developing machine learning models, enhancing data pipelines, and ensuring robust data infrastructure for AI/ML solutions, including collaboration and continuous model improvement.

The Machine Learning Engineer will apply machine learning techniques to improve advanced MIMO radios' performance, analyze RF datasets, collaborate on ML use cases, and stay updated on ML research.

The Senior AI/ML Engineer develops and deploys ML models for map content enhancement, leading technical guidance and collaboration with various teams.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The role involves building and maintaining machine learning models for user safety, managing projects, and collaborating with various teams to implement advanced AI techniques.