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Machine Learning Engineer Job Description: Top Duties and Qualifications

Edited by Indeed Employer Content Team
Last updated July 16, 2025
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Indeed’s Employer Resource Library helps businesses grow and manage their workforce. With over 15,000 articles in 6 languages, we offer tactical advice, how-tos and best practices to help businesses hire and retain great employees.

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4 min read

10825868machine learning engineer25.23data scientist22.8machine learning15.87software engineer8.52ai engineer5.6814708013975845000.00177384.99397000.00YEARLY736106382025-09-012025-09-302025-08-012025-08-312025-10-05Machine Learning Engineer duties and responsibilities

The primary task of a Machine Learning Engineer is to create AI capable of mimicking human thought processes as closely as possible so that they can function reliably and effectively. Doing so involves the following Machine Learning Engineer job duties:

  • Working with project managers to establish objectives for AI systems
  • Creating AI algorithm prototypes based on project specifications
  • Running tests to assess AI performance
  • Analyzing data gathered during tests to identify strengths and weaknesses of AI
  • Implementing changes to algorithms to improve AI performance
  • Troubleshooting and addressing problems with deployed AI to improve user experience
  • Documenting all steps in the development process
  • Remaining up to date on the latest innovations in machine learning

Hire your next Machine Learning Engineer today.

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Machine Learning Engineer Job Description Examples

Example 1

We are seeking an experienced Machine Learning Engineer with 5 to 8 years of experience to join our team. The ideal candidate will have a strong background in designing, developing, and implementing machine learning models using Python, with specific expertise in Natural Language Processing (NLP) and a basic understanding of Generative AI (GenAI). This role will focus on developing innovative solutions within the fashion domain, leveraging advanced data pipeline management and deployment skills.

Key Responsibilities

Design, Develop, and Implement Machine Learning Models:
  • Create and fine-tune machine learning models using Python.
  • Utilize expertise in NLP to understand user queries and intent related to fashion.

    Generative AI Applications:
  • Explore potential applications of GenAI within the fashion domain (basic understanding is sufficient).

    Data Pipeline Management:
  • Build and maintain robust data pipelines using Databricks (experience required).

    Deployment and Maintenance:
  • Package and deploy the machine learning service using Docker containers (experience required).
  • Ensure the service is scalable, reliable, and secure.

    Code Quality and Maintenance:
  • Write clean, maintainable, and well-documented code using Object-Oriented Programming (OOP) principles.
  • Develop and execute unit tests to ensure code quality and reliability.

    Collaboration and Teamwork:
  • Collaborate with cross-functional teams including data science, engineering, and product teams to bring the fashion assistant service to life.
  • Participate in client management and project management activities as needed.

    Continuous Learning:
  • Stay up-to-date on the latest advancements in machine learning, NLP, and related technologies.
  • Incorporate new knowledge and techniques into ongoing projects.



    Required Skills and Expertise:
  • Python: Expert level proficiency in Python programming.
  • Poetry: Expert in using Poetry for Python dependency management.
  • Docker: Advanced experience in deploying services using Docker containers.
  • Object-Oriented Programming (OOP) and Unit Testing: Expert in OOP principles and unit test-driven development methodologies.
  • Databricks: Advanced experience in building and maintaining data pipelines using Databricks.
  • Natural Language Processing (NLP): Advanced experience in NLP techniques and applications.
  • Generative AI (GenAI): Basic understanding of GenAI applications.
  • Client Management and Project Management: Advanced skills in managing client relationships and overseeing projects.

    Preferred Qualifications:
  • Strong problem-solving skills and the ability to work independently.
  • Excellent communication skills and the ability to articulate complex concepts to non-technical collaborators.
  • Experience in the fashion domain or related industries is a plus.
  • Ability to work in a fast-paced and dynamic environment.

    Job Type: Full-time

    Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Relocation assistance
  • Vision insurance
    Compensation package:
  • Bonus opportunities
  • Performance bonus
  • Yearly pay
    Experience level:
  • 5 years
    Schedule:
  • Day shift
  • Monday to Friday



    Experience:
  • Docker: 2 years (Required)
  • Databricks: 2 years (Required)
  • OOP and Unit Test Driven methodology: 3 years (Required)
  • Python: 5 years (Required)
  • Natural language processing: 2 years Location: Remote

    • Example 2

    Responsibilities:
    - Responsible for the development of smart creative generation/recommendation systems to help advertisers create effective creatives, generating billions of revenue.
    - Responsible for the development of ad content understanding, which is the foundation of the whole ad delivery system.
    - Responsible for the development of online creative delivery optimization to make sure the right creative is delivered to the right user to maximize advertising effect and market revenue.
    - Responsible for the growth of users and anti-cheating of TikTok Creator Marketplace.

    Requirements
    - Bachelor's degree or above, majoring in Computer Science or related fields.
    - Have a solid theoretical and engineering foundation in machine learning or computer vision, and is familiar with one or more technologies including machine learning, natural language processing, data mining, distributed computing, computer vision (video processing / video understanding / GAN).
    - Good team player, communication skills and project management experience is preferred.

    Preferred Qualifications:
    - Relevant development experience in recommendation system, computational advertising, video processing / understanding, etc.
    - Good product sense, lead the rhythm in projects.

    Job Type: Location: One location

    Example 3

    Job Description: We are seeking an experienced Machine Learning Engineer with experience in NLP and computer vision to join our dynamic team and play a pivotal role in the development and success of our Automotive Benchmarking Platform. We are at the forefront of innovation, leveraging natural language processing (NLP) and computer vision techniques to drive breakthroughs the Automotive industry.

    Responsibilities:

  • Develop and deploy state-of-the-art machine learning models and algorithms for NLP and computer vision applications.
  • Conduct research and stay up-to-date with the latest advancements in NLP and computer vision to ensure our solutions are cutting-edge.
  • Collaborate with cross-functional teams including AI Research Tech Leads , software engineer(s), and product manager to understand business requirements and translate them into technical solutions.
  • Design and implement NLP models and techniques for text generation, information retrieval, sentiment analysis, named entity recognition, topic modeling, and machine translation.
  • Develop computer vision algorithms for tasks such as image classification, object detection, image segmentation, and visual recognition.
  • Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality and accurate results.
  • Collaborate with data engineers (vendors) to build scalable and efficient data pipelines for training and testing.
  • Explore and implement advanced techniques in data augmentation, regularization, and model compression to improve performance and efficiency.
  • Deploy and maintain machine learning models in cloud platforms such as AWS ensuring scalability and reliability.
  • Conduct regular performance evaluations, identify bottlenecks, and implement optimization strategies to enhance model efficiency and accuracy.

    Preferred Qualifications:

  • Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or a related field.
  • Strong background in machine learning, with expertise in NLP and computer vision.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Experience: Minimum 3-5 years of experience as a Machine Learning Engineer, with significant exposure to NLP and computer vision projects. Proven track record of developing and deploying successful machine learning models.
  • Strong knowledge of machine learning frameworks and libraries, including TensorFlow, Keras, PyTorch, and scikit-learn.
  • Solid understanding of NLP techniques, including word embeddings, named entity recognition, sentiment analysis, and machine translation.
  • Extensive experience with computer vision algorithms and frameworks, including image classification, object detection, image segmentation, and deep learning models like CNNs and GANs.
  • Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
  • Experience with cloud platforms such as AWS/Azure for deploying and managing machine learning models.
  • Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights. A solid understanding of statistical analysis and data visualization techniques.
  • Communication and collaboration: Excellent verbal and written communication skills.
  • Proven ability to collaborate effectively with cross-functional teams, explain complex concepts to non-technical collaborators, and contribute to a positive team environment.

    Please share your resume to [website]

    Job Type: Full-time

    Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Referral program
  • Relocation assistance
  • Vision insurance
    Schedule:
  • Monday to Location: In person

    • Example 4

    About Our Company: Daddy Sports is committed to making sports simulation widely accessible. The future of sport is practiced and played at-home or in specialized training facilities. We’re making simulators affordable and accesible starting with Golf. We built a $99 golf simulator that is disrupting an industry where the average cost of a simulator is $5000. On all fronts we’ve received tons of recognition, but we’re most proud of our community of over 200,000 supporters on TikTok, Instagram, and YouTube. We started 2 years ago and we’re very early on in our journey, join us today as we blast through an otherwise slow industry and be part of this sports revolution where we turn every sport into an every day option.

    Check us out at [website] or in hundreds of stores across the country. (Dicks sporting goods, Golf Galaxy, and more)

    What you’ll do:
  • Build the latest and greatest machine learning for sports simulation & improvement
  • Build compute intensive computer vision models
  • Collaborate on real world scrappy and innovative data collection strategies
  • Solve real world problems with machine learning that democratize sports play & practice.

    What you’ll need:
  • 3+ Years computer vision experience
  • 2+ AWS experience
  • Tabular ML experience
  • Ability to create and modify existing DL models
  • Experience dockerizing/deploying/GPU intensive applications
  • Model conversion and mobile deployment experience
  • Experience working with SOTA video and image models



    Culture:

    Daddy Sport’s culture is lively and in-person. Team members are in the office 5 days per week, 8am to 5pm at the Irvine, CA headquarters. This requires occasional weekend work and long hours. Most will tell you they’d prefer to be nowhere else. There is unparalleled excitement and energy with the speed at which we’re growing and a catalyst to grow your career with the trajectory we’re on. If you want to join an early startup with 1000% YoY growth this is for you.

    Job Type: Full-time

    Pay: $120,000.00 - $240,000.00 per year

    Schedule:
  • Monday to Friday



    Ability to Commute:
  • Irvine, CA 92618 (Preferred)

    Ability to Relocate:
  • Irvine, CA 92618: Relocate before starting work Location: In person

    • Example 5

    Hybrid Onsite from Day One
    No C2C

    Must Haves:

  • 3+years of Machine Learning experience
  • AI/ML Experience, Java or Python
  • Familiarity with ChatGPT and a strong willingness to learn ChatGPT
  • Experience with one or more NLP tools (e.g., Spacy, NLTK, ClearTK, ScalaNLP/Breeze, ClearNLP, OpenNLP)
  • Proficiency in traditional Machine Learning models; e.g., SVMs, LDA/topic modeling, HMMs, graphical models, etc.
  • Practical experience with ML platforms; e.g., Tensorflow/Keras, PyTorch, libSVM, Shogun, Scikit-learn, SparkML, H2O, or similar

    Job Types: Contract, Full-time

    Salary: $70.00 - $80.00 per hour

    Schedule:
  • Day shift



    Ability to commute/relocate:
  • Jersey City, NJ 07302: Reliably commute or planning to relocate before starting work (Required)

    Experience:
  • NLP tools: 3 years (Required)
  • Tensorflow, Keros: 3 years (Required)
  • Machine Learning models & platforms: 3 years (Required)
  • Python/ Java: 3 years Location: Hybrid remote in Jersey City, NJ 07302

    • Example 6

    Schweitzer Engineering Laboratories (SEL) seeks a talented individual for a Lead Machine Learning Engineer position. This position will employ data science and artificial intelligence methods, high performance computing, and integration of these methods into software pipelines. The applicant will participate in state-of-the-art research and application of modern data and software techniques to a wide variety of power systems data. Applicants are expected to have a solid basis in a related field and an enthusiasm for innovation and creativity.

    NOTE: United States Citizenship is required.

    As a Lead Machine Learning Engineer, a typical day might include the following:

  • Create innovative solutions by using data-driven discovery techniques on complex, dynamical, and high-dimensional data sets.
  • Apply knowledge of dynamical systems, optimization, machine learning, artificial intelligence, and simulation to identify dominant low-dimensional patterns in data.
  • Identify and adopt the latest and most performant ML/AI algorithms and processes to solve complex problems.
  • Work with software engineers and domain experts to incorporate ML/AI technology into new and existing pipelines.
  • Produce customer deliverable research reports.
  • Produce ML/AI proposals for new work.

    This job might be for you if:

  • BS STEM, 5+ years relevant work experience
  • Understanding of dimensionality reduction techniques
  • Understanding of clustering and classification techniques
  • Understanding of supervised and unsupervised machine learning metrics and requirements
  • Strong writing, documentation, and speaking skills
  • Ability to learn new skills and assume new responsibilities

    Preferred Qualifications

  • Experience with dynamical systems
  • Experience with machine vision convolutional neural networks
  • Experience with object orientated programming, Python, C#, C++, Matlab or Java

    (Position is open to entry/mid/senior level candidates)

    Location

    Pullman, WA- SEL s corporate office is located in Eastern Washington where you'll enjoy an unmatched quality of life. Enjoy the smaller town life: country space, freedom from traffic, easy access to recreational activities in nearby mountains, rivers, and forests, as well as great schools and universities.

    Competitive pay. Superior benefits. Inspiring work.

    People are at the core of our company and we hire employee-owners. We welcome you to learn more about how we support employees.

  • We re 100% employee owned. Retirement benefits include an employer funded stock ownership plan (ESOP) and personal 401K options.
  • We offer top tier medical, prescription, dental, vision, life, and disability insurance.
  • We recognize the importance of a healthy life balance and offer: 10 paid holidays, annual vacation accrual starting at 12 days, 9 paid sick days, and paid family and medical leave that covers 90% of your pay.
  • We foster growth and development of our employees through avenues such as STEM courses, apprenticeships, tuition assistance, and engineering development programs.
  • Ask our team about other benefits including wellness, fertility, adoption, and flexible spending benefits.

    Pay Range Data

    We anticipate filling this position as a Lead Machine Learning Engineer $101,000 - $124,000. We are open to reviewing additional candidates with more or less experience and the salary range may differ if filled at a different level. Our salary ranges are determined by job, responsibility, and location. We base our starting pay offer and title on location and job-related factors such as candidate experience, training, knowledge, and skills.

    Communication with Applicants

    We communicate with all applicants. If you do not receive a response about your application, please check your SPAM filter or reach out to us at [website]

    SEL is an Equal Opportunity Employer: Vets/Disabled.

    Job Type: Full-time

    Pay: $100,000.00 - $124,000.00 per year

    Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
    Experience level:
  • 5 years
    Schedule:
  • 8 hour shift

    Work In person

    • Example 7

    Job Description

    Key Responsibilities:

  • Fine-tune and serve LLMs to help build best-in-class solutions on NLP and Generative AI
  • Stay up-to-date with recent advancements in NLP and large language models, applying novel techniques and methodologies to improve our models.
  • Be curious with new industry learnings, startups utilizing LLMs in novel ways, and other ways the real world is utilizing LLMs.
  • Conduct experiments and benchmarking to assess the performance of various model architectures and optimize hyperparameters.
  • Apply, discover and research techniques to optimize existing LLM training and serving, as well as improving the model quality.
  • Generate comprehensive client corpus data from various systems for LLM use cases
  • Build and maintain production ready ML pipelines
  • Build and maintain a production-ready platform to run models in parallel and A/B test
  • Prepare and preprocess data in collaboration with the data engineering team

    Required Job Qualifications

    Required:

  • Bachelor s degree or equivalent experience in MIS, Computer Science, Mathematics, Machine Learning, Data science or related field
  • 5+ years of experience in Machine learning related field including prior lead experience
  • Hands-on experience in developing models, in optimizing model training and tuning and in deploying Large Language Models such as GPT, LLaMA, BERT, or Transformer-based architectures with strong knowledge in tokenization and embeddings.
  • Knowledge on Natural Language Processing, Information Retrieval, Machine Comprehension, Question Answering/Conversational AI, Reinforcement Learning and Inference
  • 2+ plus years of experience in developing deep learning models as a Data Scientist and experience in building products backed up ML /AI using NLP algorithms
  • Advanced in-depth knowledge of Predictive Analytics, Statistical modeling, advanced mathematics, data integration concepts and tools
  • Strong organizational, analytical, critical thinking and leadership skills
  • Demonstrated leadership on mid-large-scale project impacting strategic partners
  • Background in Machine Learning frameworks such as TensorFlow, SparkML or Keras, Scikit Learn
  • Proficiency in Scala, Python or an equivalent language
  • Familiarity with Statistical Machine Learning models, Machine Learning concepts like Natural Language Processing, Image Processing, Recommendation Systems, etc.
  • Deep knowledge of math, probability, statistics, and algorithms, Machine Learning Development Lifecycle, Model monitoring, Data Exploration, Bias detection/removal, Explainable AI
  • Experience with AWS DevOps tools (e.g. Sagemaker, Lambda)
  • Experience with CI/CD tools (e.g. github, bamboo) and best practices

    Preferred:

  • Advanced degree or equivalent in Mathematics, Statistics, MIS, Computer Science, Machine Learning, Data science or related field
  • Leadership experience
  • Understanding of Thrivent s Technology capabilities
  • Experience with Databricks

    Job Type: Contract

    Pay: $29.40 - $65.00 per hour

    Benefits:
  • Paid time off
    Compensation package:
  • Bonus opportunities
  • Performance bonus
    Schedule:
  • 8 hour shift
  • Monday to Friday



    Experience:
  • Python: 1 year (Preferred)
  • SQL: 1 year Location: Remote

    • Example 8

    We are looking for a Machine Learning Engineer

    Sunnyvale, CA -( Onsite from Day 1)

  • Customer Systems Job Summary Conversational Engineering develops next-generation AI and NLP solutions.
  • Our mission is to maintain a comprehensive and effective support, sales & payment experience for customers around the globe.
  • Our conversational intelligence platform is growing rapidly to support new channels and regions.
  • We are looking for a hands-on machine learning engineer who is passionate about designing, developing, and deploying cutting-edge conversational AI solutions that will impact millions of customers, specifically LLMs.
  • This role will focus on large language model research and development, focusing on improving our training, inference, annotation, and data pipelines that power the overall system for our generative AI.

    Key qualifications:

  • Experience solving problems with Conversational AI in a production environment Experience building end-to-end ML systems and deploying them to operate at scale Experience with applied research, preferably experience applying Conversational AI research to real-world problems in industry Familiarity with one or more deep learning software frameworks such as Tensorflow, PyTorch Strong knowledge of Python and excellent software development skills (source code management, debugging, testing, deployment, etc.)

    Description:

  • The Conversational Engineering AI team has delivered innovative solutions including virtual chat-bots and generative text solutions.
  • There are many more exciting problems in enhancing customer service experience yet to be discovered and solved and business owners are eager to leverage the power of neural networks and machine learning.
  • We support a collaborative work environment while allowing solution autonomy on projects.
  • This position offers the right person a chance to play an important role in the development of Conversational AI systems that millions of customers interact with.

    Education Degree in Computer Science, Mathematics, Statistics, or a related field, or equivalent proven experience.

    Job Type: Part-time

    Salary: $39.43 - $86.33 per hour



    Ability to commute/relocate:
  • Sunnyvale, CA 94086: Reliably commute or planning to relocate before starting work (Required)

    Experience:
  • Python: 1 year (Required)
  • SQL: 1 year Location: In person

    • Example 9

    Role: ML Engineer w/ ABBYY
    Hybrid (Roswell, Atlanta, GA - 3 Days/Week On-site)
    Jobtype : C2C /1099
    Pay: 75-80$/Hour

    Responsibilities:

  • Perform analysis, design, coding, debugging, testing, and support of ABBYY.
  • Develop new applications/systems, enhance/upgrade existing systems or provide production support.
  • Work independently on moderately complex projects, receiving only general direction.
  • Provide assistance and direction to less experienced peers.
  • Work with the Agile Program Manager (APM), Business Owner, and Business Systems Analyst (BSA) to accurately capture collaborator requests and system specifications and translate them into engineering artifacts, which typically include design specifications, source code, test scripts and test results.
  • Coordinate with software architects and Software engineer IVs to ensure that the engineering realization is in accordance with Enterprise Architecture principles and software development best practices.




    WHAT YOU BRING TO THE TEAM

  • Must be located in the Atlanta, GA area and open to working 3 days per week in the client's Roswell, GA office.
  • Bachelor or Master's degree in Computer Science, Statistics, Mathematics, Analytics or related degree is required.
  • Experience working with ABBYY and RPA is required.
  • 2-4 years of data & analytics professional work experience.
  • Prior experience working as a management/strategic consultant is highly desirable.
  • 2+ years of developing and deploying machine learning systems into a production environment.
  • 1+ years of professional work experience implementing solutions using Databricks is highly preferred.
  • Experience working with big data tools (i.e. Hadoop, Spark, Kafka, etc.) to extract data.
  • Familiarity with ML modeling frameworks (i.e. Tensorflow, Keras, Pytorch).
  • Expertise with key cloud services (VM, Storage, etc...) - AWS, Azure or GCP is required.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala , etc. is required.
  • Strong knowledge of SQL.
  • Strong written and verbal communication skills.
  • Excellent analytical and problem solving skills.

    Job Type: Contract

    Pay: $75.00 - $80.00 per hour

    Schedule:
  • 8 hour shift



    Application Question(s):
  • Interested in Hybrid Role either in Atlanta, GA ?

    Experience:
  • Machine learning: 1 year (Required)
  • ABBYY and RPA: 1 year (Required)


    Work Hybrid remote in Atlanta, GA 30344
    • Our mission

    Indeed’s Employer Resource Library helps businesses grow and manage their workforce. With over 15,000 articles in 6 languages, we offer tactical advice, how-tos and best practices to help businesses hire and retain great employees.

    Read our editorial guidelines
    Job Description Best Practices
    Optimize your new and existing job descriptions to reach more candidates
    Get the Guide

    What does a Machine Learning Engineer do?

    10825868machine learning engineer25.23data scientist22.8machine learning15.87software engineer8.52ai engineer5.6814708013975845000.00177384.99397000.00YEARLY736106382025-09-012025-09-302025-08-012025-08-312025-10-05Machine Learning Engineers are responsible for creating the systems that power chatbots, driverless vehicles, predictive text and algorithms that place ads on websites and recommend search results. For your company, an Engineer may create systems that can enhance the customer experience to boost sales, differentiate you from your competitors and increase customer loyalty and retention. Depending on your industry, a Machine Learning Engineer may play a key role in research and development. Systems they design might allow you to be the first to market a product or service that’s more advanced or user-friendly.

    Machine Learning Engineer skills and qualifications

    To effectively carry out 10825868machine learning engineer25.23data scientist22.8machine learning15.87software engineer8.52ai engineer5.6814708013975845000.00177384.99397000.00YEARLY736106382025-09-012025-09-302025-08-012025-08-312025-10-05Machine Learning Engineer job duties, candidates need certain skills. Some qualifications that are common among quality candidates include:

    • Rigorous knowledge of R, Java and Python programming to develop software
    • In-depth knowledge of machine learning data structures and modeling, software architecture, libraries and frameworks to create AI that accomplishes outlined goals
    • Strong mathematics skills, especially in statistics, to create algorithms
    • Effective oral and written communication skills to collaborate with others and write detailed, easy-to-read reports
    • Advanced analytical skills to interpret test results and performance metrics
    • Creative thinking skills to come up with new solutions and approaches
    • Sound problem-solving skills to refine prototypes and troubleshoot performance issues
    • Ability to remain stationary for long periods of time in front of screens

    10825868machine learning engineer25.23data scientist22.8machine learning15.87software engineer8.52ai engineer5.6814708013975845000.00177384.99397000.00YEARLY736106382025-09-012025-09-302025-08-012025-08-312025-10-05Machine Learning Engineer experience requirements

    How much experience you should look for in candidates for your Machine Learning Engineer position depends on your company’s needs. If the candidate will work with a team of other Engineers who have many years of experience, they may only need one to two years of related experience in programming or machine learning. New hires who’ll work independently or join a team with other new Engineers may need two to five years of experience working specifically in machine learning to perform their job duties effectively.

    Machine Learning Engineer education and training requirements

    A bachelor’s degree in artificial intelligence, machine learning, computer science, data science, statistics or mathematics is usually necessary to work in 10825868machine learning engineer25.23data scientist22.8machine learning15.87software engineer8.52ai engineer5.6814708013975845000.00177384.99397000.00YEARLY736106382025-09-012025-09-302025-08-012025-08-312025-10-05Machine Learning Engineer careers. You may wish to prioritize candidates who have more education, such as a master’s degree or post-graduate certificate. Individuals who hold AWS Certified Machine Learning certification from Amazon or Professional Machine Learning Engineer certification from Google have passed written examinations, demonstrating that they likely possess the knowledge required to succeed as a Machine Learning Engineer.

    10825868machine learning engineer25.23data scientist22.8machine learning15.87software engineer8.52ai engineer5.6814708013975845000.00177384.99397000.00YEARLY736106382025-09-012025-09-302025-08-012025-08-312025-10-05Machine Learning Engineer salary expectations

    According to Indeed Salaries, the average salary for a Machine Learning Engineer is $131,076 per year. The actual annual income of an Engineer may be more or less based on geographic location, experience, education and certifications.

    Job description samples for similar positions

    If the Machine Learning Engineer position doesn’t match the requirements of your company, read the duties and responsibilities for these related jobs:

    Machine Learning Engineer job description FAQs

    Who does a Machine Learning Engineer report to?

    A 10825868machine learning engineer25.23data scientist22.8machine learning15.87software engineer8.52ai engineer5.6814708013975845000.00177384.99397000.00YEARLY736106382025-09-012025-09-302025-08-012025-08-312025-10-05Machine Learning Engineer usually reports to whoever is overseeing AI development at a company. Depending on organizational structures, machine learning may be in its own department, or it may fall under the category of research and development or information technology (IT). The Supervisor for a Machine Learning Engineer may have the title of Senior Machine Learning Engineer, Machine Learning Manager or Manager of Research and Development. In some cases, a Machine Learning Engineer may answer directly to a Project Manager.

    How can you make your 10825868machine learning engineer25.23data scientist22.8machine learning15.87software engineer8.52ai engineer5.6814708013975845000.00177384.99397000.00YEARLY736106382025-09-012025-09-302025-08-012025-08-312025-10-05Machine Learning Engineer job description stand out?

    Due to the rise in SMART technology and the growth of ecommerce, skilled Machine Learning Engineers are in high demand. To make your job description stand out and encourage quality candidates to apply for your open position, sell the benefits of working for your company as much as possible. Give details about what type of projects the engineer will be involved with and why they’ll be rewarding, challenging or otherwise desirable. Also, outline all the perks and benefits the position provides.

    What qualities make a good Machine Learning Engineer?

    Because a Machine Learning Engineer often works under tight deadlines, people who perform well under pressure and can take quick, decisive actions are often well suited for the job. Those who enjoy solving complex problems and have a passion for AI are most likely to be satisfied in Machine Learning Engineer roles.

    Job Description Best Practices
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    Get the Guide

    Three individuals are sitting at a table with a laptop, a disposable coffee cup, notebooks, and a phone visible. Two are facing each other, while the third’s back is to the camera. The setting appears to be a bright room with large windows.

    Hire your next Machine Learning Engineer today.

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