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Manager Edge Ai Machine Learning Jobs (NOW HIRING)

... and product managers, and use metrics to ensure our work is translating into better customer ... Machine Learning Engineer. * Profound experience in optimizing ML models and systems for Edge ...

The company leverages its global leadership in carbon management to advance lower-carbon ... AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

Machine Learning Engineer

Denver, CO · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer * Location: Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.

... AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ... Knowledge of Terraform and Ansible for automating infrastructure management * Knowledge of YAML for ...

Vertex AI Machine Learning Architect

Alpharetta, GA · Remote

$62.25 - $80/hr

The Vertex AI Machine Learning Architect will be responsible for developing, deploying, and managing machine learning models using Google Cloud's Vertex AI platform. The ideal candidate will have a ...

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Manager Edge Ai Machine Learning information

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$31K

$77.4K

$130K

How much do manager edge ai machine learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for manager edge ai machine learning in the United States is $77,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $87,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Edge Ai Machine Learning vs Data Scientist?

AspectManager Edge Ai Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; certifications in AI/MLBachelor's or Master's in Data Science, Statistics, Computer Science; often certifications in data analysis or ML
Work EnvironmentLeads teams, manages projects, collaborates with stakeholders in AI/ML applicationsAnalyzes data, develops models, and provides insights, often working independently or in teams
Employer & Industry UsageTech companies, AI startups, enterprises implementing AI solutionsResearch institutions, tech firms, finance, healthcare, and other data-driven industries

While both roles involve AI and machine learning, the Manager Edge Ai Machine Learning focuses on leading teams and managing AI projects, whereas Data Scientists primarily analyze data and develop models. The manager role emphasizes leadership and project oversight, while Data Scientists concentrate on technical analysis and model development.

More about Manager Edge Ai Machine Learning jobs
What cities are hiring for Manager Edge Ai Machine Learning jobs? Cities with the most Manager Edge Ai Machine Learning job openings:
What are the most commonly searched types of Edge Ai Machine Learning jobs? The most popular types of Edge Ai Machine Learning jobs are:
What states have the most Manager Edge Ai Machine Learning jobs? States with the most job openings for Manager Edge Ai Machine Learning jobs include:
Infographic showing various Manager Edge Ai Machine Learning job openings in the United States as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $77,379 per year, or $37.2 per hour.

Director, AI / Machine Learning Data Engineer

BNY

Manhattan, NY

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

We're seeking a future team member for the role of Director, AI / Machine Learning Engineer to join our AI Hub team. This role is located in New York, NY. 

This role is located in our AI Hub and is focused on building AI-powered tools and platforms that improve the way engineers design, build, test, and operate software. This is a highly visible leadership opportunity for a hands-on technical leader who can combine deep applied AI expertise with strong software engineering judgment to deliver practical, scalable solutions in an enterprise environment while leading and developing a high-performing engineering team.

In this role, you'll make an impact in the following ways:

  • Lead the design, development, and delivery of applied AI solutions hands-on, providing technical direction and execution leadership for machine learning and artificial intelligence products.

  • Bring deep knowledge of Applied AI, LLMs, fine tuning, model evaluation, and approaches to building fit-for-purpose models, copilots, and agents for engineering use cases.

  • Drive technical discovery, prototyping, and experimentation to evaluate tools, frameworks, and model approaches, translating findings into practical recommendations and scalable implementation plans.

  • Partner closely with engineering and business stakeholders to understand roadmaps, pain points, and workflows, and define success measures that demonstrate developer, engineering, and business impact.

  • Lead and manage a team of AI / machine learning engineers, supporting performance, coaching and development, and creating a strong culture of technical excellence, accountability, and collaboration.

  • Bring expertise in applying AI to improve the software development lifecycle and empower builders, designers, and developers through trusted, secure, and production-grade capabilities.

  • Contribute to the achievement of Application Development objectives by establishing strong practices across architecture, delivery, reliability, and responsible AI adoption.

To be successful in this role, we're seeking the following:

  • Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience required; advanced degree is beneficial. 

  • 12+ years of experience in software development required; experience in the securities or financial services industry is a plus.  

  • Advanced experience, preferably 10+ years, in applied AI/ML, model development, and software engineering, including experience deploying solutions into production environments.

  • Demonstrated experience managing technical teams, mentoring engineers, and balancing people leadership with hands-on technical direction and delivery ownership.

  • Ability to lead as a hands-on technical leader, collaborating with, mentoring, and guiding engineers while driving architecture, implementation, and delivery decisions.

  • Strong understanding of enterprise software practices, MLOps / LLMOps, evaluation frameworks, and how to create secure, scalable, and sustainable AI architectures.

  • Ability to communicate technical ideas clearly and influence a range of audiences, including engineers, product partners, and senior business stakeholders.

At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn

 Here's a few of our recent awards:

  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

    Our Benefits and Rewards:

    BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

    BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

    BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting. 

    Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

    If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.