As a Senior Machine Learning Engineer within Zillow’s Rich Media Experiences team, you’ll join a group focused on helping people better understand homes through immersive, AI-powered experiences.
The Payroll AI and Data team is helping transform how payroll is processed for Workday customers around the world. Payroll touches nearly everyone who works, and the data behind it is complex, time-sensitive, and deeply important.
The Adoption Team develops intelligent agents and capabilities that enable customers to manage Workday efficiently and maximize their overall experience.
The Adoption Team develops intelligent agents and capabilities that enable customers to manage Workday efficiently and maximize their overall experience.
We are in search of an experienced Senior AI/ML Engineer to develop and broaden fraud and abuse detection systems. You will improve ML techniques in anomaly detection, user/device risk analysis, identity and service abuse, and evolving AI abuse scenarios.
As a Staff Machine Learning Engineer, you'll design, build, and scale production ML systems spanning deep learning, behavioral modeling, embeddings, and agentic AI. You'll write code, train models, run experiments, and help shape the architecture the broader team builds on.
RedditNew · 2h ago
Providing technical leadership and mentorship to MLEs in the team: driving designs & their review, establishing best practices in analysis, modeling and engineering, keeping the bar high.
FitchNew · 16h ago
Fitch Ratings is seeking a Machine Learning Engineer to join our new AI Innovation teams in Toronto—a bold initiative building the AI-powered future of financial analysis. We're not fine-tuning existing models or optimizing yesterday's algorithms.
Carbon Data SolutionsNew · 16h ago
As a Senior ML Engineer within our Benefits Personalization Squad , you will own the data infrastructure that powers personalized customer experiences at HelloFresh: helping us deliver the right benefits, incentives, and offers to the right customers at the right time.
This is more than a model-building role. You will create the engineering foundations that allow AI solutions to deliver lasting value in production. Design and develop robust MLOps practices, platforms and standards.
As a team, our Machine Learning Engineers broadly work across two areas: ML Research Engineering , focused on the systems and frameworks researchers use to train, evaluate and iterate on models at scale; and ML Performance Engineering , focused on making ML workloads execute as…
Design and build agentic frameworks from scratch, including planning, tool use, orchestration, state management, and multi-agent coordination.
As a Distinguished Machine Learning Engineer, you will have a seat at the table where the future of autonomous, agentic networking is designed.
Capital OneNew · 1d ago
In this role at Finance Tech, you will be playing a lead role as part of Finance Tech horizontal AI enablement teams in developing/deploying best practices and end user facing AI usecases for Finance LOB.
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 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:
Capital OneNew · 1d 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:
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 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:
Capital OneNew · 1d 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:
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.
| 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.
USA
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Toronto, Canada
Farringdon, UK
