Our teams apply machine learning, optimization, and software engineering to solve complex problems for customers, shoppers, retailers, brands, and internal partners.
Our teams apply machine learning, optimization, and software engineering to solve complex problems for customers, shoppers, retailers, brands, and internal partners.
Lead the design and development of large-scale RL training frameworks to accelerate the development of multi-modal AV foundation models. Design, build, and optimize simulation and data processing pipelines to enable scalable training of driving policies.
Build, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization. Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems.
NVIDIA · 13d ago
Build, develop, and maintain high-performance runtime and compiler components, focusing on end-to-end inference optimization. Define and implement mappings of large-scale inference workloads onto NVIDIA’s systems.
Engage closely with our AI and ML research teams to discern their infrastructure requirements and barriers, converting those insights into actionable improvements. Proactively identify researcher efficiency bottlenecks and lead initiatives to systematically improve it.
Build and deliver innovative Metropolis AI solutions powered by Cosmos world foundation models, addressing real-world requirements in intelligent video analytics, perception, and physical AI.
Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads. Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.
Designing end2end solutions for Perception and AV stack to enable traffic signal detections across various driving environments from complex intersections to rural roads to highways.
Work within a multi-functional team on various projects involving Pre-silicon and Post Silicon custom circuit design and related data, Circuit/Layout Optimization and Spice correlation. Research and implement techniques on frontier solutions of electronic design automation.
Together, we focus on how models behave in production, not just on benchmarks. Evaluate and improve Small Language Models used in GeForce G-Assist, with an emphasis on accuracy, robustness, and conversational reliability.
Designing end-to-end solutions for Prediction and AV stack using state of the art ML techniques to enable agents prediction across various driving environments from complex intersections to rural curvy roads to multi-level highways.
We are looking for a Machine Learning Engineers to join Flo Health.
Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions.
You will join as a technical leader shaping both the product architecture and team culture. This is a rare opportunity to define the industry standard for AI security at Cisco’s global enterprise scale.
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Architect and build production Agentic AI systems for compliance automation, including LLM-powered agents, orchestration pipelines, and decision support workflows that replace manual compliance processes.
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
The Perception team at Zoox is responsible for how our purpose-built robotaxi understands the world, including what happens inside the cabin.
This is a hands-on MLOps engineering role. You will work across model training and refresh workflows, APIs, orchestration, data pipelines, production monitoring, and user-facing experiences such as model dashboards and training controls.
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
At Anduril, our Battlespace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations.
We are looking for a Staff Machine Learning Engineer to provide technical leadership for the Retrieval and Targeting ML team.
Capital One · 20d ago
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
| Level | Median | Listings |
|---|---|---|
| Mid level | $260k | 19 |
| Senior | $232k | 101 |
338 Machine Learning Engineer jobs paying $100k+ are listed on Six Figure Jobs. The average salary is $249k USD. Every listing shows its salary range from the employer’s posting. Use the filters to narrow by seniority, location, skills or work type.
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