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:
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Build manufacturing data foundations. Architect and integrate end-to-end manufacturing data systems (MES, testers, cloud) across the supplier network to capture accurate production data.
The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI assistants to find their next home.
The AI Software & Platform Team designs and builds enterprise AI platform software to enhance security resilience, threat defense, and operational automation across Cisco’s portfolio.
Plaid · 22d ago
Owning the end-to-end technical strategy for a foundation model built on one of the world's richest financial datasets, from pretraining architecture to production serving.
This role sits at the intersection of ML workloads, execution systems, and engineering leverage.
The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI assistants to find their next home.
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:
This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions.
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:
Build and improve large-scale ML systems, including retrieval and ranking, embeddings, and LLM-powered features. Set technical direction and deliver measurable user and business impact. Work with partner teams to shape product and technical roadmaps.
Architect and deploy the multi-agent framework for agent assist, internal SOP execution, and secure LLM-powered actions, building scalable systems that handle millions of customer interactions.
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:
As a Machine Learning Engineer on our team, you will be at the forefront of developing high-quality, production-ready models that play a central role in our decision-making processes. Your contributions will be instrumental in shaping our financial landscape.
We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit decisions for people that traditional credit scores…
Anduril Industries · 28d ago
Maritime Digital Production (MDP) is the software and digital systems function within Anduril's Heavy Metal division. MDP operates at the boundary between Operational Technology and Information Technology.
Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area.
As a Senior Software Engineer, ML Platform, you will work on our ML Data Team and be instrumental in architecting, implementing, and maintaining foundational ML infrastructure powering Feeds Ranking, Content Understanding, Recommendations, Ads, and much more to fulfill Reddit’s…
Broadcom · 29d ago
The Central Engineering Group is seeking an energetic, visionary, and passionate Infrastructure AI/ ML Engineer to lead the Agentic AI Infrastructure development workflow for memory design, characterization, and yield optimization.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Our team builds classification and evaluation systems that give post-training and research teams fast, reliable feedback on model behavior.
Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes.
Riot Games · 1mo ago
Design, train, and deploy real-time machine learning models to detect gameplay anomalies, automated bots, and memory-tampering exploits. Build scalable inference pipelines capable of evaluating millions of high-throughput game actions per second with minimal latency impact.
| 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.
San Jose, USA
Canada
