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Machine Learning Defense Jobs in Indiana (NOW HIRING)

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $119K/yr

... defense presentations. * Leads the proposal development process, project pricing, and project ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Research Scientist Senior

Indianapolis, IN · On-site

$94K - $120K/yr

... defense presentations. * Leads the proposal development process, project pricing, and project ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $120K/yr

... defense presentations. * Leads the proposal development process, project pricing, and project ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

... Defense and National Security mission sets. We leverage more than 17 years of support to ... Apply machine learning and other data-analytic approaches to analytics objectives (CDRLs A010, A011 ...

... Defense and National Security mission sets. We leverage more than 17 years of support to ... Apply machine learning and other data-analytic approaches to analytics objectives (CDRLs A010, A011 ...

... Defense and National Security mission sets. We leverage more than 17 years of support to ... Apply machine learning and other data-analytic approaches to analytics objectives (CDRLs A010, A011 ...

Machine Operator

Indianapolis, IN · On-site

$18 - $18.50/hr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... defense and energy markets. To learn more, please visit us at Surface Treatment and Metal ...

Machine Operator

Indianapolis, IN · On-site

$18 - $18.50/hr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... defense and energy markets. To learn more, please visit us at Surface Treatment and Metal ...

Machine Operator

Indianapolis, IN · On-site

$18 - $18.50/hr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... defense and energy markets. To learn more, please visit us at Surface Treatment and Metal ...

Machine Operator

Indianapolis, IN · On-site

$18 - $18.50/hr

... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ... defense and energy markets. To learn more, please visit us at Surface Treatment and Metal ...

Design, develop, and deploy machine learning models and algorithms from proof of concept through ... Experience in a regulated manufacturing, aerospace, or defense environment highly desired.

AI Engineer

Indianapolis, IN · On-site

$100 - $130/hr

Design, develop, and deploy machine learning models and algorithms from proof of concept through ... Experience in a regulated manufacturing, aerospace, or defense environment highly desired.

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Showing results 1-20

Machine Learning Defense information

What is machine learning defense?

Machine learning defense refers to techniques and strategies designed to protect machine learning models from various security threats, such as adversarial attacks, data poisoning, and model theft. These defenses can include methods like adversarial training, input sanitization, and robust model architectures. The goal is to ensure that machine learning systems remain accurate, reliable, and safe even when faced with malicious attempts to manipulate or exploit them. As machine learning becomes more widely adopted, the importance of effective defenses continues to grow.

What are some common challenges faced by professionals in machine learning defense roles, and how can they be addressed?

Professionals in Machine Learning Defense often encounter challenges such as staying ahead of adversarial attacks, managing model robustness, and keeping up with rapidly evolving threat landscapes. Addressing these challenges typically requires continuous learning, collaboration with cybersecurity and data science teams, and implementing rigorous testing and monitoring frameworks for deployed models. Proactively participating in industry forums and staying updated on the latest research also help in identifying emerging threats and mitigation strategies.

What are the key skills and qualifications needed to thrive as a machine learning defense professional, and why are they important?

To thrive as a Machine Learning Defense professional, you need a strong background in computer science, cybersecurity, and machine learning, often supported by degrees in these fields or related certifications. Familiarity with frameworks like TensorFlow or PyTorch, experience with adversarial machine learning techniques, and knowledge of security protocols are typically required. Critical thinking, problem-solving, and strong communication skills are essential for anticipating threats and collaborating with interdisciplinary teams. These skills ensure that AI systems remain robust and secure against evolving cyber threats, protecting sensitive data and organizational integrity.

What are popular job titles related to Machine Learning Defense jobs in Indiana?

For Machine Learning Defense jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Machine Learning Defense jobs in Indiana look for?

The top searched job categories for Machine Learning Defense jobs in Indiana are:

What cities in Indiana are hiring for Machine Learning Defense jobs?

Cities in Indiana with the most Machine Learning Defense job openings:

Research Scientist Senior

Elevance Health

Indianapolis, IN • On-site, Remote

$94K - $119K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Elevance Health rating

7.5

Company rating: 7.5 out of 10

Based on 354 frontline employees who took The Breakroom Quiz

218th of 315 rated insurance


Job description

Research Scientist Senior

This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to one of our Pulse Point locations in Indianapolis, IN, Atlanta, GA, Grand Prairie, TX, Chicago, IL or New York, NY. Alternate locations may be considered if candidates reside within a commuting distance from an office.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.


The Research Scientist Senioris responsible for prospective and retrospective health economic research activities. Responsible for leadership in assessing scientific research that contributes to the transformation of health outcomes research to achieve a substantial national/global leadership. This role will focus on the design, development, evaluation, and deployment of advanced machine learning and reinforcement learning systems that optimize healthcare and operational decision-making.

How you will make an impact:

  • Leads the assessment of scientific research that contributes to the transformation of health outcomes research to achieve substantial national and global leadership.

  • Acts as a technical authority within the organization and nationally/globally.

  • Publishes finding and conclusions in recognized scientific publications and presents research at scientific conferences and forums. Leads projects that generate project extensions.

  • Leads research project operations activities to include project conceptualization, project planning, leading project teams, and proposal defense presentations.

  • Leads the proposal development process, project pricing, and project milestone forecasting.

  • Ensures the quality and timeliness of deliverables to research clients.

  • Serves as a hands-on individual contributor building scalable AI/ML solutions and production-grade decision intelligence systems in highly regulated healthcare environments.

  • Develops scalable machine learning and reinforcement learning systems that improve healthcare outcomes, operational efficiency, and member experience through adaptive learning and advanced analytics.

  • Demonstrates deepexpertisein machine learning, reinforcement learning, predictive analytics, and intelligent decision systems.

  • Applies strong research discipline and evidence-based methodologies to complex healthcare and operational problems.

  • Successfully delivers scalable machine learning solutions from concept through deployment and measurable operational impact.

  • Partners effectively across business, research, engineering, analytics, and product teams.

  • Evaluates emerging AI technologies and translates innovation into scalable business value.

  • Communicates highly technical concepts effectively to both technical and non-technical audiences.

  • Leads prospective and retrospective health economic and outcomes research initiatives using healthcare administrative datasets including pharmacy and medical claims.

  • Designs and develops machine learning, predictive modeling, and reinforcement learning solutions for healthcare optimization and intelligent decision systems.

  • Builds and operationalizes production-grade ML systems.

  • Partners closely with engineering, architecture, analytics, product, and business teams to deploy AI-driven recommendations and decision systems into operational workflows.

Minimum Requirements:

Requires a PhD in health service research, biostatistics, epidemiology, health policy, economics or related field, or a clinical degree such as an MD or PharmD with residency or fellowship research training, a minimum of 10 years of experience conducting health outcomes research using health plan administrative databases, including pharmacy and medical claims data, and a demonstrated record of peer-reviewed publications and/or presentations at scientific conferences; or any combination of education and experience which would provide an equivalent background.

Preferred Skills, Capabilities and Experiences:

  • Hands-on expertise with Python and modern ML frameworks such as PyTorch, TensorFlow, Scikit-learn, or Ray highly preferred.

  • Experience building end-to-end machine learning systems and production AI infrastructure highly preferred.

  • Experience with reinforcement learning, predictive modeling, recommendation systems, or adaptive decision systems highly preferred.

  • Experience with cloud-native ML environments, distributed computing, and MLOps practices highly preferred.

  • Experience with healthcare AI, clinical decision support, or intelligent automation systems in regulated industries highly preferred.

  • Experience operationalizing Generative AI or LLM-enabled workflows preferred.

  • Managed care, PBM, pharmaceutical, or related experience preferred.

For candidates working in person or virtually in the below location(s), the salary* range for this specific position is $156,464 to $256,032.

Locations: Chicago, IL, New York, NY

In addition to your salary, Elevance Health offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company. The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.

* The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting. This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level. Even within the range, the actual compensation will vary depending on the above factors as well as market/business considerations. No amount is considered to be wages or compensation until such amount is earned, vested, and determinable under the terms and conditions of the applicable policies and plans. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.

Who We Are

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

How We Work

At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.

We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.

The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.

Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process should submit the Accessibility Accommodation Request Form and a member of the team will be in contact.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.


What Elevance Health employees say

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Benefits

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About Elevance Health

Sourced by ZipRecruiter

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. A Fortune 20 company with a longstanding history in the healthcare industry, we are looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. You will thrive in a complex and collaborative environment where you take action and ownership to solve problems and lead change. Do you want to be part of a larger purpose and an evolving, high-performance culture that empowers you to make an impact?

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

2004

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