Top Machine Learning Engineer Jobs

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.

Lead the architecture and implementation of a scalable AI/ML platform, focusing on data pipelines and integration of ML capabilities in business systems. Mentor and collaborate with cross-functional teams to optimize performance and deliver business value.

As a Sr Lead Machine Learning Engineer, you'll design, develop, and implement machine learning applications, collaborating with cross-functional teams and ensuring high performance and governance of ML systems.

As a Senior Lead Machine Learning Engineer, you'll design and implement ML systems, collaborate with cross-functional teams, and ensure high performance and governance of applications at scale.

Lead modeling strategies for AI Bots in League of Legends by developing and implementing ML systems, collaborating with teams, and ensuring player experience enhancement through advanced ML methods.

Design and implement machine learning models and analytics solutions for big data to enhance retail decision-making and forecasting.

Responsible for developing ML algorithms for robotic manipulation, building data pipelines, optimizing models, mentoring engineers, and driving innovation.

Develop and deploy in-cabin computer vision ML modules for safety-critical perception. Design model architectures and training pipelines, build large-scale datasets from sensor inputs, validate and optimize models in real-world driving scenarios to improve fleet safety and efficiency.

Develop, optimize, and deploy computer vision models (object detection, tracking, segmentation, facial recognition). Prepare and preprocess large image/video datasets, evaluate and monitor model performance in production, and collaborate with cross-functional teams to integrate scalable vision AI solutions.

Lead design, development, and production deployment of ML and algorithmic solutions. Own end-to-end ML systems, support distributed production reliability, communicate tradeoffs, and apply generative AI, LLM fine-tuning, RAG, and agentic techniques to product problems.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

The role involves designing and scaling ML systems for prediction and recommendation, mentoring junior engineers, and leading projects.

Develop and optimize unimodal and multimodal perception models for 3D/BEV terrain and surface inference, build large-scale data pipelines and annotation tools, deploy and optimize models on edge compute, collaborate with robotics/software/hardware teams, mentor juniors, and translate research into production-grade autonomous vehicle perception systems.

Lead design, training, and iteration of diffusion-based generative models producing 3D geological models conditioned on geophysical and borehole data; curate synthetic and real datasets; adapt models for projects and collaborate with teams.

Develop and optimize machine learning models and pipelines for autonomous vehicles, focusing on behavior prediction. Collaborate with teams, lead projects, and ensure high-quality implementations.

The role involves optimizing machine learning approaches for 3D simulation, collaborating with diverse teams, and building scalable ML pipelines.

Lead the development of machine learning algorithms focusing on perception for autonomous driving, collaborating across teams and mentoring ML developers.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

As a Principal Machine Learning Engineer, you will architect AI solutions, collaborate with scientists, and optimize models for edge deployment. Your work enhances public safety applications.

Collaborate on power optimization for NVIDIA's GPUs and networking chips using AI and RTL techniques to improve power efficiency.

Develop and improve machine learning models and systems for clinical outcomes. Lead ML initiatives, mentor teams, and establish best practices in AI. Collaborate across engineering, product, and design for data-driven solutions.

As a Senior Machine Learning Engineer, you will design scalable ML systems, optimize model serving, and collaborate on production deployments, directly impacting user interactions with AI.

As a Principal Machine Learning Engineer, you'll lead the design and development of AI systems, collaborate cross-functionally, and oversee the full AI development lifecycle for financial planning solutions.

The role involves developing an ML research platform, managing data pipelines, and building tools for simulation lifecycle and performance monitoring in a collaborative environment.

Lead the design, development, and implementation of advanced machine learning models, optimizing pipelines, and collaborating with teams to enhance products.