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Amazon Machine Learning Scientist Jobs (NOW HIRING)

Sr Machine Learning Scientist

Thousand Oaks, CA · On-site

$96K - $131K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal ...

$78K - $107K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal ...

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Senior Machine Learning Scientist

Austin, TX · On-site

$90K - $123K/yr

We are currently seeking an experienced, dynamic, organized, self-starter to join as a Senior Machine Learning Scientist for our Consulting and Digital Transformation (CDx) line of business. Key ...

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Senior Machine Learning Scientist

Scottsdale, AZ · On-site

$92K - $125K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

Senior Machine Learning Scientist

Seattle, WA · On-site

$104K - $142K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a ...

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Amazon Machine Learning Scientist information

See salary details

$24.5K

$134.5K

$211.5K

How much do amazon machine learning scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for amazon machine learning scientist in the United States is $134,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $162,000.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

As an Amazon Machine Learning Scientist, AI and automation tools are used to enhance data analysis and model development, but they do not replace the need for skilled professionals. MLE roles involve designing, deploying, and maintaining complex machine learning systems that require human expertise, critical thinking, and domain knowledge. AI tools serve as support, allowing MLEs to focus on innovative solutions and system optimization.

Is ML a high paying job?

Machine Learning Scientist roles are generally high-paying due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Salaries often vary based on experience, location, and industry, but they tend to be above average compared to many other tech roles.

What is the salary of ML scientist in Amazon?

The salary of an Amazon Machine Learning Scientist typically ranges from $120,000 to $180,000 per year, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with senior roles earning higher salaries. Skills in machine learning frameworks and cloud services like AWS are often required.

What is the difference between Amazon Machine Learning Scientist vs Data Scientist?

AspectAmazon Machine Learning ScientistData Scientist
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science, or related fields; strong analytical skills
Work EnvironmentFocus on developing and deploying machine learning models within cloud platforms like AWSAnalyze large datasets, create reports, and develop insights across various industries
Employer & Industry UsagePrimarily in tech companies, cloud service providers, and AI-focused organizationsWidely used across finance, healthcare, marketing, and tech sectors

Amazon Machine Learning Scientists specialize in designing and implementing machine learning models within AWS, requiring advanced technical credentials. Data Scientists analyze data to generate insights across industries. While both roles require strong analytical skills, Machine Learning Scientists focus more on model development and deployment, whereas Data Scientists emphasize data analysis and reporting.

Which 5 jobs will survive AI?

Amazon Machine Learning Scientists are likely to continue to find demand for their expertise as AI advances, especially in developing and refining machine learning models. Jobs that require complex problem-solving, creativity, emotional intelligence, and specialized technical skills—such as healthcare professionals, software developers, data analysts, educators, and skilled tradespeople—are also expected to persist despite AI automation. These roles often involve tasks that are difficult for AI to fully replicate or replace.
More about Amazon Machine Learning Scientist jobs
Infographic showing various Amazon Machine Learning Scientist job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, 7% Part Time, 2% Contract, and 1% Summer. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $134,515 per year, or $64.7 per hour.
Sr Machine Learning Scientist

Sr Machine Learning Scientist

Amgen

Thousand Oaks, CA • On-site

$96K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 20 days ago


Job description

Career CategoryEngineeringJob Description

Join Amgen's Mission of Serving Patients

At Amgen, if you feel likeyou'repart of something bigger,it'sbecause you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.

Since 1980,we'vehelped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year.Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rarediseases, andobesity and obesity-related conditions.As a member of the Amgen team,you'llhelp make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them,you'llthrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Machine Learning Scientist

What you will do

Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal of advancing and applying computational protein design torevolutionize how biologic therapeutics are made.

In this vital role you willwork with a cross functional team of scientists and engineers building foundational models that are used, tested, and trained on real world applications of generative design to the development of therapeutic biomolecules.Providing technical leadership and partnering across broad discovery areas of research, you will:

Develop and implement groundbreaking machine learning and protein science solutions.

  • Collaborate with computational and experimental scientists toestablishthese tools as a foundation ofthe discovery pipeline.

  • Work towards individual ownership and a leadership role indeterminingmodel architectures and research program needs.

  • Engage with open source and academic collaborations in the machine learning field.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. Thedrivenprofessional weseekis ahighly collaborative and confident researcherwith these qualifications.

Basic Qualifications:

Doctorate degree
OR
Master's degree and 2 years ofmachine learningexperience
OR
Bachelor's degree and 4 years ofmachine learningexperience
OR
Associate's degree and 8 years ofmachinelearningexperience

Preferred Qualifications:

  • PhD in in Computational Sciences, Computational Biology, Applied Math,Statisticsor related quantitative field.

  • Strongtrack recordof research accomplishments including three or more scientific publications or conference presentations in machine learning

  • Experience specifically with model training and diffusion model architecture,demonstratedby scientific publication orconference presentations.

  • Experience with UNIX/Linux, Python,PyTorch, Git, and cloud computing platforms

  • Experienceworking with biological data, andin applying machine learning to computational biology

  • Strong communicationand technical leadership skills with an enthusiasm for working in an interdisciplinary team environment.

What you can expect from us

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture,we'llsupport your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

  • A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts

  • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan

  • Stock-based long-term incentives

  • Award-winning time-off plans

  • Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

Apply now and make a lasting impact with the Amgen team.

careers.amgen.com

In any materials yousubmit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Amgen does not have an application deadline for this position; we will continue accepting applications until we receivea sufficient numberor select a candidate for the position.

Sponsorship

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against seriousdisease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation toparticipatein the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

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Salary Range

134,168.25USD -181,521.75USD