Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.
Building machine learning systems for risk at a global crypto exchange is fundamentally different from conventional ML engineering.
Preference ModelNew · 1d ago
Frontier research moves only as fast as its infrastructure permits. We are looking for Senior ML Infrastructure Engineers to build the infrastructure and systems that power the frontier of post-training on large language models .
As a Staff Machine Learning Engineer for the Coupang Media Group (CMG) - Ads Quality & Ranking , you will be responsible for designing and deploying state-of-the-art machine learning models, ranking algorithms, and optimization systems powering our advertising platform.
RobloxNew · 1d ago
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
AI Engineering and Delivery is the customer-obsessed engineering group building the agentic AI and enterprise-scale search systems that power Now Assist, AI Agents, and the AI-driven experiences our customers rely on every day.
True Talent Solutions PartnersNew · 1d ago
Join an AI team building large-scale models for physical systems, with weather as an initial application. You will develop the distributed infrastructure needed to train and serve foundation models, helping advance AI that can predict outcomes and identify effective actions.
We are hiring engineers on two different teams. Admin Central is building the future of how administrators work across Workday—turning a fragmented patchwork of tools and disconnected AI into a single, unified experience.
Develop innovative machine learning technology and products that serve millions of Snapchatters. Work on state of the art generative pipelines for image, video, language or audio generation. Deliver generative machine learning experiences on device.
SnapNew · 2d ago
Design and develop machine learning systems across the third-party signal lifecycle, from acquisition and curation to matching, attribution, and causal measurement. Design, implement, and scale critical machine learning models to support Snap's monetization strategies.
Identify high-value opportunities where machine learning can improve subscription growth, monetization, retention, and subscriber value. Design, build, and deploy ML systems for personalization, ranking, propensity modeling, offer decisioning, and lifecycle optimization.
Design, implement, and scale critical machine learning models and systems to protect Snapchatters around global from harmful content and bad actors, promote a healthy content ecosystem through effective moderation, and ensure regulatory compliance.
Build and deploy machine learning models that power core products, serving millions of Snapchatters. Apply modern ML techniques to solve large-scale, real-world problems. Own the full ML lifecycle from data analysis to production deployment.
Build and deploy machine learning models that power core products, serving millions of Snapchatters. Apply modern ML techniques to solve large-scale, real-world problems. Own the full ML lifecycle from data analysis to production deployment.
As a Principal Machine Learning Engineer on Cisco’s CX AI Incubation and Agents team, you tackle ambiguous, high-impact challenges and lead cross-functional engagements from architecture and design through production and customer deployment.
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, you’ll build the models that power performance optimization at Coframe.
How can we use vast amounts of proprietary and internet-scale healthcare data to build systems that enable access to significantly better health care?
We’re hiring an ML Engineer (P3) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data & ML organization within Engineering.
Pacific Northwest National LaboratoryNew · 2d ago
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Pacific Northwest National LaboratoryNew · 2d ago
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
We are looking for an AI/ML Engineer with strong machine learning fundamentals and hands-on experience in model development, training, and evaluation.
Title: Staff Machine Learning Engineer. Location: 1325 Boylston Street, Suite 10000, Boston, MA 02215. Duties: Applying understanding of company products and services and introducing technology innovations with respect to functionality, performance, reliability, and scalability.
| 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.
Plano, USA
UK
