As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...
Machine Learning Engineer
Toledo, OH · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Toledo, OH · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Cleveland, OH · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Cleveland, OH · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Artificial Intelligence/Machine Learning Engineer (Pending Contract Award)
Dayton, OH · On-site
$125 - $150/hr
Position: Artificial Intelligence/Machine Learning Engineer (Pending Contract Award) Location ... Responsibilities include developing and managing programs to guide digital transformation to cloud ...
Artificial Intelligence/Machine Learning Engineer (Pending Contract Award)
Dayton, OH · On-site
$125 - $150/hr
Position: Artificial Intelligence/Machine Learning Engineer (Pending Contract Award) Location ... Responsibilities include developing and managing programs to guide digital transformation to cloud ...
Machine Learning Engineer
Columbus, OH · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer
Columbus, OH · On-site
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...
Machine Learning Engineer (Intern - Summer 2027)
Fairborn, OH · On-site
$22 - $26/hr
SRC, Inc. is currently seeking summer 2027 Machine Learning Engineering interns for our Dayton, OH or Syracuse, NY locations who enjoy solving interesting problems using ML. Are you excited about ...
Machine Learning Engineer (Intern - Summer 2027)
Fairborn, OH · On-site
$22 - $26/hr
SRC, Inc. is currently seeking summer 2027 Machine Learning Engineering interns for our Dayton, OH or Syracuse, NY locations who enjoy solving interesting problems using ML. Are you excited about ...
Machine Learning Engineer (Intern - Summer 2027)
Fairborn, OH · On-site
$22 - $26/hr
SRC, Inc. is currently seeking summer 2027 Machine Learning Engineering interns for our Dayton, OH or Syracuse, NY locations who enjoy solving interesting problems using ML. Are you excited about ...
Machine Learning Engineer (Intern - Summer 2027)
Fairborn, OH · On-site
$22 - $26/hr
SRC, Inc. is currently seeking summer 2027 Machine Learning Engineering interns for our Dayton, OH or Syracuse, NY locations who enjoy solving interesting problems using ML. Are you excited about ...
SRC, Inc. is currently seeking summer 2027 Machine Learning Engineering interns for our Dayton, OH or Syracuse, NY locations who enjoy solving interesting problems using ML. Are you excited about ...
Quick apply
SRC, Inc. is currently seeking summer 2027 Machine Learning Engineering interns for our Dayton, OH or Syracuse, NY locations who enjoy solving interesting problems using ML. Are you excited about ...
Machine Learning Engineer Manager information
See Ohio salary details
$25.1K - $40.2K
3% of jobs
$40.2K - $55.3K
2% of jobs
$55.3K - $70.4K
3% of jobs
$70.4K - $85.5K
7% of jobs
$85.5K - $100.6K
9% of jobs
$101.5K is the 25th percentile. Wages below this are outliers.
$100.6K - $115.6K
9% of jobs
The median wage is $124.3K / yr.
$115.6K - $130.7K
30% of jobs
$130.7K - $145.8K
10% of jobs
$149.2K is the 75th percentile. Wages above this are outliers.
$145.8K - $160.9K
12% of jobs
$160.9K - $176K
10% of jobs
$176K - $191.1K
6% of jobs
$25.1K
$124.9K
$191.1K
How much do machine learning engineer manager jobs pay per year?
As of Sep 9, 2026, the average yearly pay for machine learning engineer manager in Ohio is $124,947.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,553.00 and $152,658.00 per year, depending on experience, location, and employer.
What is a machine learning engineer manager?
Machine Learning Engineer Managers are professionals who lead teams of machine learning engineers in designing, developing, and deploying machine learning models and systems. They combine strong technical expertise in machine learning with leadership and project management skills to guide teams, set priorities, and ensure projects align with organizational goals. In addition to overseeing technical work, they are responsible for mentoring team members, collaborating with other departments, and staying updated on the latest ML technologies and best practices.
What are the main challenges machine learning engineer managers face when leading teams?
Machine Learning Engineer Managers often navigate the dual challenge of aligning technical innovation with business goals while supporting team growth. They must balance hands-on technical guidance with project management, ensuring that machine learning models are both cutting-edge and production-ready. Additionally, fostering collaboration between data scientists, engineers, and stakeholders is crucial to keeping projects on track and team members motivated. Managing shifting priorities and keeping up with rapid advancements in AI technology are also common aspects of the role.
What are the key skills and qualifications needed to thrive as a machine learning engineer manager, and why are they important?
To thrive as a Machine Learning Engineer Manager, you need a strong background in computer science, machine learning algorithms, and leadership, often supported by an advanced degree and experience managing technical teams. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and project management systems is essential, along with certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Excellent communication, strategic thinking, and mentorship abilities help foster team growth and drive project success. These skills are crucial for delivering impactful ML solutions, ensuring efficient team performance, and aligning technical work with organizational goals.
What is the difference between Machine Learning Engineer Manager vs Data Scientist?
| Aspect | Machine Learning Engineer Manager | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's/Master's in CS, ML, or related; often leadership experience | Bachelor's/Master's in CS, Statistics, or related; strong analytical skills |
| Work Environment | Leads ML teams, manages projects, collaborates with engineering | Analyzes data, builds models, reports insights, collaborates with business units |
| Employer & Industry Usage | Tech companies, AI firms, large enterprises | Tech, finance, healthcare, research institutions |
| Search & Comparison Intent | Understanding managerial roles in ML teams | Data analysis and modeling skills |
The main difference is that a Machine Learning Engineer Manager oversees ML teams and projects, focusing on leadership and strategy, while a Data Scientist primarily analyzes data and builds models to extract insights. Both roles require strong technical skills, but the manager role adds leadership responsibilities.
Are machine learning engineer managers still in demand?
Machine Learning Engineer Managers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They require strong technical skills, leadership abilities, and knowledge of tools like Python, TensorFlow, and cloud platforms, making their roles critical in developing and overseeing AI projects.
What are the most commonly searched types of Machine Learning Engineer jobs in Ohio?
The most popular types of Machine Learning Engineer jobs in Ohio are:
Machine Learning Engineer II, Logistics AI
Cleveland, OH • On-site
Instacart •
Technology, Communication and Media • 10K+ employees10,000+ employees
Full-time
Re-posted 19 days ago
Instacart rating
6.9
Based on 33 frontline employees who took The Breakroom Quiz
35th of 64 rated delivery companies
Job description
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
About the Role:
As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart's marketplace systems. You will use machine learning to devise and refine solutions in crucial areas such as routing optimization, pricing, dispatch, and mapping. You will actively contribute to initiatives, assisting in all stages from the initial concept, through prototyping and experimentation, to final implementation.
About the Team:
The Logistics AI group is responsible for the intelligence and execution behind Instacart’s fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.
About the Job:
- Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
- Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML/AI applications.
- Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
- Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.
About You:
Minimum Qualifications:
- Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience
- Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
- Have strong analytical skills and problem-solving ability
- Are a strong communicator who can collaborate with diverse stakeholders across all levels
Preferred Qualifications:
- Have 1-2 years of industry experience using machine learning to solve real-world problems with large datasets
- Knowledge of deep learning frameworks and methodologies
- Experience in applying machine learning and optimization techniques to solve marketplace problems
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
What Instacart employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Instacart
Sourced by ZipRecruiter
Instacart, based in San Francisco, CA, US, operates within the retail industry, specifically grocery delivery and pick-up service. It is recognized as a pioneer in this field, delivering fresh groceries from local stores directly to customers' doors. The company, which launched its services in 2012, continues to pioneer change in the online grocery shopping sector through its commitment to cutting-edge technology, new business ideas, and dedicated service.
Industry
Technology, communication and media
Company size
10,000+ Employees
Headquarters location
San Francisco, CA, US
Year founded
2012