1

Temporary Machine Learning Scientist Jobs in Indiana

$85K - $116K/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 ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Valparaiso, IN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid ... In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science.

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid ... In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science.

next page

Showing results 1-20

Temporary Machine Learning Scientist information

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

AspectTemporary Machine Learning ScientistData Scientist
CredentialsTypically requires a master's or PhD in computer science, data science, or related fields; experience with machine learning frameworksUsually holds a bachelor's or master's in data science, statistics, or related fields; strong analytical skills
Work EnvironmentProject-based, often contract roles in tech, finance, or healthcare companiesFull-time or contract roles across various industries, focusing on data analysis and insights
Employer UsageHired for specialized machine learning projects, prototypes, or research tasksEngaged in data analysis, reporting, and building predictive models

In summary, a Temporary Machine Learning Scientist focuses on developing and implementing machine learning models on a temporary basis, often requiring advanced credentials and specialized skills. In contrast, a Data Scientist has a broader role in analyzing data and generating insights, with less emphasis solely on machine learning techniques.

What are Temporary Machine Learning Scientists?

Temporary Machine Learning Scientists are professionals hired on a short-term basis to develop, implement, and optimize machine learning models within an organization. They typically work on specific projects or to fill a temporary gap in expertise, often collaborating with data scientists, engineers, and stakeholders. Their responsibilities may include data preprocessing, feature engineering, model selection, and evaluation. These roles are ideal for projects with defined timelines or exploratory research that does not require a permanent hire. Temporary contracts can range from a few months to a year, depending on the project's scope and needs.

What types of projects do Temporary Machine Learning Scientists typically work on, and how do they integrate with existing teams?

Temporary Machine Learning Scientists are often brought in to support short-term projects such as data analysis, model prototyping, or improving existing machine learning pipelines. Their work usually involves collaborating closely with data engineers, software developers, and product managers to ensure seamless integration of models into production systems. Since the role is temporary, effective communication and quick adaptation to the team's workflow are crucial. These scientists are expected to rapidly understand the company's data and objectives, deliver actionable insights, and document their work for team continuity after their contract ends.

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Scientist, and why are they important?

To thrive as a Temporary Machine Learning Scientist, you typically need advanced knowledge of machine learning algorithms, data analysis, programming skills (such as Python or R), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and tools for data processing and model deployment is often required, along with experience using cloud platforms such as AWS or Azure. Strong problem-solving abilities, adaptability, and effective communication skills help you quickly integrate into teams and deliver results on short-term projects. These skills ensure you can efficiently contribute to impactful solutions and adapt to rapidly changing project requirements.
What are the most commonly searched types of Machine Learning Scientist jobs in Indiana? The most popular types of Machine Learning Scientist jobs in Indiana are:
What are popular job titles related to Temporary Machine Learning Scientist jobs in Indiana? For Temporary Machine Learning Scientist jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Temporary Machine Learning Scientist jobs? Cities in Indiana with the most Temporary Machine Learning Scientist job openings:
Infographic showing various Temporary Machine Learning Scientist job openings in Indiana as of July 2026, with employment types broken down into 17% Internship, and 83% Full Time. Highlights an 68% In-person, and 32% Remote job distribution.
Sr Machine Learning Scientist

Sr Machine Learning Scientist

Amgen

On-site

$85K - $116K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday


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.

.

Salary Range

134,168.25USD -181,521.75USD