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 ...
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 ...
Work cross-functionally with marketing, engineering, product, senior management, and external ... machine learning * Strong command of Python and the standard web development frameworks (e.g.
Work cross-functionally with marketing, engineering, product, senior management, and external ... machine learning * Strong command of Python and the standard web development frameworks (e.g.
The Machine Learning Engineer should ensure that information is converted into a format that is ... production (not just notebooks) * Strong programming skills in Python and familiarity with ML ...
The Machine Learning Engineer should ensure that information is converted into a format that is ... production (not just notebooks) * Strong programming skills in Python and familiarity with ML ...
Work cross-functionally with marketing, engineering, product, senior management, and external ... machine learning * Strong command of Python and the standard web development frameworks (e.g.
Work cross-functionally with marketing, engineering, product, senior management, and external ... machine learning * Strong command of Python and the standard web development frameworks (e.g.
Work cross-functionally with marketing, engineering, product, senior management, and external ... machine learning * Strong command of Python and the standard web development frameworks (e.g.
Work cross-functionally with marketing, engineering, product, senior management, and external ... machine learning * Strong command of Python and the standard web development frameworks (e.g.
Machine Learning Engineer
Atlanta, GA · On-site
As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You collaborate with engineers, data scientists, and product teams to define problems, test ...
Machine Learning Engineer
Atlanta, GA · On-site
As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... You collaborate with engineers, data scientists, and product teams to define problems, test ...
AI Machine Learning Scientist
Atlanta, GA · On-site +1
Will work closely with engineering, product, data science, and business teams to translate complex ... Non-Management Exempt Workshift: Job Family: IFT > Artificial Intelligence Please be advised that ...
AI Machine Learning Scientist
Atlanta, GA · On-site +1
Will work closely with engineering, product, data science, and business teams to translate complex ... Non-Management Exempt Workshift: Job Family: IFT > Artificial Intelligence Please be advised that ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... As an example, we manage catalog data imported from hundreds of retailers, and we build product and ...
Product Manager Machine Learning information
See Georgia salary details
$43.5K - $54.7K
0% of jobs
$54.7K - $65.8K
1% of jobs
$65.8K - $77K
3% of jobs
$77K - $88.2K
4% of jobs
$88.2K - $99.3K
5% of jobs
$99.3K - $110.5K
5% of jobs
$115.2K is the 25th percentile. Wages below this are outliers.
$110.5K - $121.7K
14% of jobs
$121.7K - $132.8K
5% of jobs
The median wage is $140.1K / yr.
$132.8K - $144K
18% of jobs
$152.5K is the 75th percentile. Wages above this are outliers.
$144K - $155.2K
24% of jobs
$155.2K - $166.3K
19% of jobs
$43.5K
$134.6K
$166.3K
How much do product manager machine learning jobs pay per year?
As of Jun 22, 2026, the average yearly pay for product manager machine learning in Georgia is $134,599.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $166,300.00 per year, depending on experience, location, and employer.
How does a Product Manager specializing in Machine Learning typically collaborate with data scientists and engineering teams?
Product Managers in Machine Learning work closely with both data scientists and engineering teams to translate business objectives into viable AI-driven products. They facilitate communication by defining clear requirements, prioritizing features, and ensuring that the technical roadmap aligns with user needs and company strategy. Regular meetings, progress reviews, and shared documentation are common practices to keep everyone aligned. This cross-functional collaboration is essential for addressing feasibility, optimizing models, and delivering successful products on schedule.
What does a Product Manager for Machine Learning do?
A Product Manager for Machine Learning oversees the development and deployment of machine learning products or features. They work closely with data scientists, engineers, and business stakeholders to identify opportunities where machine learning can deliver value, define product requirements, and guide projects from conception to launch. Their responsibilities include setting the product vision, prioritizing features, ensuring alignment with business goals, and evaluating the impact of machine learning solutions. They also help bridge the gap between technical teams and non-technical stakeholders by translating complex concepts into actionable plans.
What is the difference between Product Manager Machine Learning vs Data Scientist?
| Aspect | Product Manager Machine Learning | Data Scientist |
|---|---|---|
| Primary Focus | Overseeing ML product development, strategy, and deployment | Analyzing data, building models, and deriving insights |
| Required Skills | Product management, ML understanding, cross-functional collaboration | Statistics, programming, data analysis |
| Work Environment | Product teams, engineering, business stakeholders | Data analysis teams, research, engineering |
| Common Certifications | Product management certifications, ML courses | Data science certifications, programming skills |
While both roles involve machine learning, Product Manager Machine Learning focuses on guiding ML products from conception to deployment, working closely with engineering and business teams. Data Scientists primarily analyze data and develop models to extract insights. The roles complement each other but differ in their core responsibilities and skill sets.
What are the key skills and qualifications needed to thrive as a Product Manager, Machine Learning, and why are they important?
To thrive as a Product Manager, Machine Learning, you need a solid understanding of product lifecycle management, data analytics, and machine learning concepts—often supported by a technical degree and relevant experience. Familiarity with tools like Python, SQL, JIRA, and machine learning frameworks, as well as certifications such as PMP or Agile, is highly beneficial. Outstanding communication, stakeholder management, and problem-solving skills help you bridge the gap between technical teams and business objectives. These abilities are crucial to successfully guide ML products from ideation to launch, ensuring they deliver real value and align with organizational goals.
What are popular job titles related to Product Manager Machine Learning jobs in Georgia? For Product Manager Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Product Manager Machine Learning jobs in Georgia look for? The top searched job categories for Product Manager Machine Learning jobs in Georgia are:
What cities in Georgia are hiring for Product Manager Machine Learning jobs? Cities in Georgia with the most Product Manager Machine Learning job openings:
Full-time
This job post has expired today. Applications are no longer accepted.
Instacart rating
7.0
Based on 30 frontline employees who took The Breakroom Quiz
31st of 62 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