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Applied Machine Learning Jobs in Indiana (NOW HIRING)

Amgen

$85K - $116K/yr

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen ... PhD in in Computational Sciences, Computational Biology, Applied Math,Statisticsor related ...

Relativity

Principal Applied Scientist

Indianapolis, IN · On-site

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

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All JobsApplied Machine Learning JobsApplied Machine Learning Jobs in Indiana

Applied Machine Learning information

See Indiana salary details

$24.3K

$40.5K

$83.7K

How much do applied machine learning jobs pay per year?

As of Jul 8, 2026, the average yearly pay for applied machine learning in Indiana is $40,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 per year, depending on experience, location, and employer.

What are the typical collaboration dynamics between Applied Machine Learning engineers and other teams within a company?

Applied Machine Learning engineers often work closely with cross-functional teams including data scientists, software engineers, product managers, and business analysts. They are typically responsible for translating business problems into machine learning solutions and ensuring models are effectively integrated into production systems. This role requires frequent communication to align on project goals, share progress, and address technical challenges, making teamwork and stakeholder management crucial for successful deployments and continuous improvement.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise, responsibility, and impact on business or product development.

What is applied machine learning?

Applied machine learning involves using machine learning techniques and algorithms to solve real-world problems in various industries, such as healthcare, finance, and technology. Practitioners focus on selecting appropriate models, preparing data, training algorithms, and deploying solutions that deliver tangible value. Unlike theoretical machine learning, applied machine learning emphasizes practical implementation, evaluation, and optimization to meet business or research objectives.

Is applied AI a good career?

Applied machine learning is a growing field with strong demand for professionals skilled in algorithms, programming, and data analysis. It offers opportunities in various industries such as technology, healthcare, and finance, often requiring knowledge of tools like Python, TensorFlow, and cloud platforms. The career can be rewarding with continuous learning and development of specialized skills.

What are the key skills and qualifications needed to thrive as an Applied Machine Learning professional, and why are they important?

To excel in Applied Machine Learning, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a relevant degree or certification. Familiarity with programming languages like Python or R, frameworks such as TensorFlow or PyTorch, and version control systems is typically required. Strong problem-solving abilities, communication skills, and a collaborative mindset help you interpret results and convey insights to diverse stakeholders. These competencies are crucial for building effective models, driving data-driven decisions, and ensuring the successful integration of machine learning solutions into real-world applications.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries or companies can earn $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of successful projects in applied machine learning environments.

Will MLE be replaced by AI?

Applied Machine Learning (MLE) professionals design, develop, and implement machine learning models, which are essential for AI systems. While AI automation tools can assist or streamline certain tasks, MLE roles focus on model development, data preprocessing, and system integration that require specialized expertise, making complete replacement unlikely in the near term.
What are popular job titles related to Applied Machine Learning jobs in Indiana? For Applied Machine Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Applied Machine Learning jobs in Indiana look for? The top searched job categories for Applied Machine Learning jobs in Indiana are:
Applied Machine Learning jobs near you
Infographic showing various Applied Machine Learning job openings in Indiana as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $40,521 per year, or $19.5 per hour.
Sr Machine Learning Scientist

Sr Machine Learning Scientist

Amgen

On-site

$85K - $116K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 23 hours 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

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