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Amazon Machine Learning Jobs (NOW HIRING)

ClifyX

Machine Learning Engineer

Manhattan, NY · On-site

Machine Learning Engineer The Viacom Data Platform is looking for an awesome Machine Learning ... Ability to build cloud native apps on Amazon Web Services * Good experience with agile development ...

Ascentt

Senior Machine Learning Engineer

Ann Arbor, MI · On-site

$102K - $140K/yr

Senior Machine Learning Engineer Ascentt is building cutting-edge data analytics & AI/ML solutions ... Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in ... Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years ... Utilize Amazon SageMaker or similar platforms for building, training, and deploying models in a ...

GPTZero

Machine Learning Intern

New York, NY

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Doug Herrington (CEO of Worldwide Amazon Stores) * Brad Smith (President of Microsoft) * Tripp ...

Chewy

Machine Learning Engineer II

Boston, MA · On-site +1

$161K/yr

Machine Learning Engineer II Boston, MA - Marketing Operations - Full time - R29931 What you'll do ... Amazon Web Services tools like Redshift, SageMaker, Snowflake or other similar platforms ...

Chewy

Machine Learning Engineer II

Boston, MA · On-site +1

$161K/yr

Machine Learning Engineer II Boston, MA - Marketing Operations - Full time - R29931 What you'll do ... Amazon Web Services tools like Redshift, SageMaker, Snowflake or other similar platforms ...

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Amazon Machine Learning information

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$25.5K

$42.6K

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How much do amazon machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for amazon machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What types of projects and daily tasks can I expect in an Amazon Machine Learning position?

As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.

What are the key skills and qualifications needed to thrive in the Amazon Machine Learning position, and why are they important?

To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.

What is an Amazon Machine Learning job?

An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.

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Amazon Machine Learning jobs near you
Machine Learning Engineer

Machine Learning Engineer

ClifyX

Manhattan, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer

The Viacom Data Platform is looking for an awesome Machine Learning Engineer with hands-on experience in developing and maintaining scalable machine learning applications and pipelines in a fast-paced business environment. The Data Platform is responsible for ensuring the right people have the right data at the right level of granularity across our brands such as Nickelodeon, MTV, BET, and Comedy Central. We enable teams driving video, marketing, and advertising to be data driven and we are implementing practical approaches with machine learning to enhance the work people do here. We take an internal open source approach to our work and believe our code needs to be top quality in order to succeed. Be a part of this growing team in a challenging but fun environment.

Responsibilities:

  • Building, maintaining, and optimizing data pipelines and ETL jobs
  • Working with text, video, and images to extract useful metadata
  • Collaborating across the team to shape the Data Platform technology stack
  • Writing technical documentation
  • Improving automation and test coverage (unit/integration/user acceptance tests, etc.)
  • Keeping up to date with modern data engineering technologies

Your profile:

  • 5+ years of software engineering/data science experience with 2+ years in data engineering plus a Master's degree in Computer Science (or related field) or equivalent professional experience combined with a Bachelor's degree
  • Extensive experience with Python and libraries (e.g. NLTK, gensim, spaCy, and pandas)
  • Experience with Apache Spark (especially SparkML) and/or Apache Hadoop
  • Strong experience in NLP, specifically topic modeling and text classification
  • Experience with build and dependency management tools (Gradle, sbt, Maven, npm)
  • Understanding of TF-IDF and tools like Apache Solr
  • Ability to build cloud native apps on Amazon Web Services
  • Good experience with agile development processes like Scrum and Kanban
  • Insist on automating everything (testing, Continuous Integration, Continuous Delivery)
  • Experience in working on the command line in a Unix/Linux environment

Nice to have:

  • Experience with one or more NoSQL databases such as Cassandra, DynamoDB, MongoDB, Neo4J, or RDF triple stores
  • Experience with data pipeline tools such as Apache Airflow, Luigi, AWS Data Pipeline

Candidates requiring visa sponsorship WILL NOT be considered at this time. We are an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristic protected by law.

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About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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