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 ...
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 ...
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 ...
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 ...
Senior Machine Learning Test Engineer
Novi, MI · On-site +1
$103K - $134K/yr
Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...
Senior Machine Learning Test Engineer
Novi, MI · On-site +1
$103K - $134K/yr
Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Your skills span test strategy, automation, and a little MLOps, with a strong software engineering ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ yearsof ... Practical experience with coreML frameworkssuch asPyTorch,TensorFlow, orscikitlearn, and with MLOps ...
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ yearsof ... Practical experience with coreML frameworkssuch asPyTorch,TensorFlow, orscikitlearn, and with MLOps ...
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ yearsof ... Practical experience with coreML frameworkssuch asPyTorch,TensorFlow, orscikitlearn, and with MLOps ...
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ yearsof ... Practical experience with coreML frameworkssuch asPyTorch,TensorFlow, orscikitlearn, and with MLOps ...
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ years of ... learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ years of ... learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ years of ... learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ years of ... learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ years of ... learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)
... Machine Learning, Statistics, Engineering, or a closely related quantitative field. * 7+ years of ... learn, and with MLOps tooling (e.g., MLflow, CI/CD, model registries, experiment tracking)
Senior AI Engineer Generative AI & Machine Learning
Dearborn, MI · On-site
$112K - $148K/yr
This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ... Design, develop, and deploy machine learning models, including predictive, optimization, and ...
Senior AI Engineer Generative AI & Machine Learning
Dearborn, MI · On-site
$112K - $148K/yr
This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ... Design, develop, and deploy machine learning models, including predictive, optimization, and ...
Senior AI Engineer - Generative AI & Machine Learning
Dearborn, MI · On-site
$112K - $148K/yr
This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ... Design, develop, and deploy machine learning models, including predictive, optimization, and ...
New
Senior AI Engineer - Generative AI & Machine Learning
Dearborn, MI · On-site
$112K - $148K/yr
This role combines expertise in Data Science, Software Engineering, and MLOps to deliver scalable ... Design, develop, and deploy machine learning models, including predictive, optimization, and ...
New
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...
Mlops Machine Learning Engineer information
Is MLOps harder than DevOps?
MLOps, as a specialized subset of DevOps focused on deploying and maintaining machine learning models, often involves additional challenges such as data management, model versioning, and monitoring. While both require skills in automation, scripting, and cloud environments, MLOps typically demands expertise in machine learning workflows and tools like TensorFlow or PyTorch, making it more complex in certain aspects compared to traditional DevOps.
What does an MLOps Machine Learning Engineer do?
An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.
How does an MLOps Machine Learning Engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?
An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.
What is the difference between Mlops Machine Learning Engineer vs Data Scientist?
| Aspect | Mlops Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps tools | Bachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning |
| Work Environment | Focus on deploying, maintaining, and scaling ML models in production environments | Focus on data analysis, model development, and insights generation |
| Employer & Industry Usage | Tech companies, startups, enterprises implementing ML solutions | Research institutions, analytics firms, tech companies for data insights |
While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.
Are MLOps engineers in demand?
MLOps engineers are in high demand due to the increasing adoption of machine learning models in various industries. Their skills in deploying, managing, and scaling machine learning systems, along with knowledge of tools like Docker, Kubernetes, and cloud platforms, make them valuable in the job market.
What engineers make $500,000?
Senior machine learning engineers, including those specializing in MLOps, often reach or exceed $500,000 annually with experience, advanced skills, and in high-demand industries like tech or finance. Compensation can include base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.
How much do MLOps engineers make?
MLOps engineers typically earn between $100,000 and $150,000 annually, with salaries increasing based on experience, location, and expertise in tools like Kubernetes, Docker, and cloud platforms. Senior roles or those with specialized skills can exceed $180,000 per year.
What are the key skills and qualifications needed to thrive as an MLOps Machine Learning Engineer, and why are they important?
To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.
What are popular job titles related to Mlops Machine Learning Engineer jobs in Michigan? For Mlops Machine Learning Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Mlops Machine Learning Engineer jobs in Michigan look for? The top searched job categories for Mlops Machine Learning Engineer jobs in Michigan are:
What cities in Michigan are hiring for Mlops Machine Learning Engineer jobs? Cities in Michigan with the most Mlops Machine Learning Engineer job openings:
Instacart rating
7.0
Based on 30 frontline employees who took The Breakroom Quiz
32nd 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