ZipRecruiter

Log In

1

Machine Learning Jobs in Bloomington, IN (NOW HIRING)

SAIC

Data Analyst

Bedford, IN · Remote

Apply advanced statistical methods, predictive modeling, and machine learning techniques as appropriate to derive meaningful insights in support of government decision-making * Conduct trend analysis ...

SAIC

Chief Engineer

Bedford, IN

Stay current with the latest advancements in unmanned systems, counter-unmanned technologies, ISR sensor modalities, artificial intelligence and machine learning (AI/ML) applications, and C3I ...

SAIC

Data Analyst

Bedford, IN · On-site

Apply advanced statistical methods, predictive modeling, and machine learning techniques as appropriate to derive meaningful insights in support of government decision-making * Conduct trend analysis ...

SAIC

Data Analyst with Security Clearance

Bedford, IN · On-site

Apply advanced statistical methods, predictive modeling, and machine learning techniques as appropriate to derive meaningful insights in support of government decision-making * Conduct trend analysis ...

SAIC

Chief Engineer

Bedford, IN · On-site

Stay current with the latest advancements in unmanned systems, counter-unmanned technologies, ISR sensor modalities, artificial intelligence and machine learning (AI/ML) applications, and C3I ...

Varsity Tutors

Statics Tutor

Bloomington, IN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

Cummins

Electrician - Hiring Now

Columbus, IN · On-site

$23.25 - $32/hr

Nimble learning - Actively learning through experimentation when tackling new problems, using both ... Machine Programming - Creates factory floor machine programs by designing and implementing ...

Cummins

Electrician - Manufacturing

Columbus, IN · On-site

Nimble learning - Actively learning through experimentation when tackling new problems, using both ... Machine Programming - Creates factory floor machine programs by designing and implementing ...

previous page

Showing results 41-60

All JobsMachine Learning JobsMachine Learning Jobs in Bloomington, IN

Machine Learning information

See Bloomington, IN salary details

$23.6K

$39.4K

$81.4K

How much do machine learning jobs pay per year?

As of Aug 3, 2026, the average yearly pay for machine learning in Bloomington, IN is $39,390.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,100.00 and $42,600.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

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

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Bloomington, IN? The most popular types of Machine Learning jobs in Bloomington, IN are:
What are popular job titles related to Machine Learning jobs in Bloomington, IN? For Machine Learning jobs in Bloomington, IN, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Bloomington, IN look for? The top searched job categories for Machine Learning jobs in Bloomington, IN are:
What cities near Bloomington, IN are hiring for Machine Learning jobs? Cities near Bloomington, IN with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Bloomington, IN as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,390 per year, or $18.9 per hour.

Chief Engineer

Science Applications International Corporation

Bedford, IN • On-site

Full-time

Posted 6 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

75th of 221 rated it services

Job description


SAIC is seeking a highly skilled and experienced Chief Engineer for Intelligence, Surveillance, and Reconnaissance (ISR), Command, Control, Communications, and Intelligence (C3I), and Counter-Unmanned Systems (C-UXS) to lead the technical development, integration, and operational deployment of advanced multi-domain capabilities. The Chief Engineer will serve as the primary technical authority for a portfolio of ISR, C3I, and C-UXS programs, providing visionary leadership across the full system lifecycle from concept development through fielding and sustainment. This role requires a strategic thinker with extensive expertise in systems engineering, program management, and technology innovation to ensure the delivery of high-quality, operationally effective solutions that address the full spectrum of unmanned and asymmetric threats while enhancing command, control, and intelligence capabilities for our government and defense customers.
Key Responsibilities:
Technical Leadership
  • Provide strategic direction and technical leadership for the development, integration, and deployment of ISR, C3I, and C-UXS systems across multiple programs and platforms
  • Serve as the primary technical authority for all engineering activities related to ISR sensor systems, C3I architectures, and counter-unmanned aircraft, ground, and surface vehicle (C-UAS, C-UGV, C-USV) technologies
  • Oversee the design, integration, testing, and validation of multi-domain ISR collection capabilities, C3I communication and data link architectures, and C-UXS detection, tracking, identification, and defeat systems
  • Lead cross-functional engineering teams across hardware, software, systems, and integration disciplines to ensure cohesive and efficient execution of ISR, C3I, and C-UXS program objectives
  • Provide technical oversight of system architecture decisions, trade studies, and engineering design reviews including System Requirements Reviews (SRR), Preliminary Design Reviews (PDR), and Critical Design Reviews (CDR)
  • Ensure technical solutions align with government customer requirements, operational concepts, and mission needs across ISR, C3I, and C-UXS domains

Program & Project Management
  • Manage multiple concurrent ISR, C3I, and C-UXS projects, ensuring they are completed on time, within scope, and within budget
  • Develop and maintain comprehensive program plans, integrated master schedules (IMS), work breakdown structures (WBS), and budgets across the C-UXS and ISR portfolio
  • Communicate program status, technical risks, and mitigation strategies to senior SAIC leadership, government program offices, and key stakeholders
  • Identify and manage technical risks associated with ISR sensor integration, C3I interoperability, and C-UXS defeat mechanism effectiveness
  • Support proposal development, cost estimation, and technical volume preparation for new ISR, C3I, and C-UXS business opportunities

Systems Engineering
  • Ensure that all ISR, C3I, and C-UXS systems meet the highest standards of performance, reliability, interoperability, and safety in accordance with government requirements and applicable standards
  • Lead the development and implementation of systems engineering processes and best practices consistent with DoD acquisition frameworks and applicable standards including MIL-STD, IEEE, and EIA-632
  • Oversee the creation and management of comprehensive technical documentation including system requirements specifications, interface control documents (ICDs), design specifications, test and evaluation plans, and system safety analyses
  • Ensure ISR systems deliver required collection, processing, exploitation, and dissemination (CPED) capabilities across multi-domain environments
  • Ensure C3I architectures support seamless command and control, secure communications, and real-time intelligence fusion across joint and coalition networks
  • Ensure C-UXS systems provide integrated and layered detection, tracking, identification, and kinetic or non-kinetic defeat capabilities against the full spectrum of unmanned threats including UAS, UGV, and USV

Innovation & Research and Development
  • Drive innovation in ISR, C3I, and C-UXS technologies through targeted research and development initiatives aligned with emerging threat environments and government capability gaps
  • Stay current with the latest advancements in unmanned systems, counter-unmanned technologies, ISR sensor modalities, artificial intelligence and machine learning (AI/ML) applications, and C3I communication architectures
  • Identify and evaluate emerging technologies with potential application to ISR collection enhancement, C3I network modernization, and C-UXS defeat effectiveness
  • Foster a culture of innovation, intellectual curiosity, and continuous improvement within the ISR, C3I, and C-UXS engineering teams
  • Lead and support independent research and development (IR&D) activities to advance SAIC's technical capabilities in the ISR, C3I, and C-UXS domains
  • Engage with academic institutions, industry partners, and government research organizations to identify collaborative opportunities and technology transition pathways

Collaboration & Stakeholder Communication
  • Serve as the primary contractor technical point of contact for all ISR, C3I, and C-UXS programs, interfacing directly with government program offices, test agencies, and operational end users
  • Collaborate with government agencies, combatant commands, and defense customers to understand evolving ISR collection requirements, C3I interoperability needs, and C-UXS operational challenges
  • Facilitate effective communication and technical collaboration among engineering teams, program managers, contracts personnel, and other internal and external stakeholders
  • Represent SAIC at government program reviews, technical interchange meetings (TIMs), industry conferences, and working groups focused on ISR, C3I, and C-UXS capabilities
  • Coordinate with government test and evaluation organizations to support developmental and operational testing of ISR, C3I, and C-UXS systems
  • Build and maintain strong relationships with government customers, subcontractors, and technology partners across the ISR, C3I, and C-UXS ecosystem

Qualifications
Minimum Requirements and Education:
  • Bachelor's degree in Electrical Engineering, Systems Engineering, Computer Science, Aerospace Engineering, or a related technical field; advanced degree strongly preferred
  • Minimum of 10 years of experience in systems engineering, with at least 5 years in a technical leadership or chief engineer role
  • Extensive hands-on experience with C-UXS technologies, including multi-sensor detection, tracking, identification, and kinetic and non-kinetic defeat of unmanned aerial, ground, and surface systems
  • Demonstrated experience with ISR systems, including sensor integration, multi-INT data fusion, and CPED architectures across airborne, ground, and maritime platforms
  • Proven knowledge of C3I architectures, including secure communications, data links, network-centric operations, and intelligence fusion systems
  • Proven track record of managing complex, multi-disciplinary engineering programs from concept development through operational deployment
  • Strong understanding of DoD systems engineering principles, acquisition processes, and applicable technical standards
  • Excellent leadership, communication, and stakeholder engagement skills with demonstrated ability to interface effectively with senior government officials
  • Ability to think strategically, drive technical innovation, and translate operational requirements into engineering solutions
    Proficiency in program management tools, techniques, and integrated master scheduling
  • Active Secret Clearance or ability to obtain and maintain required clearance

Preferred Qualifications:
  • Advanced degree (Master's or Ph.D.) in Systems Engineering, Electrical Engineering, Aerospace Engineering, or a related technical discipline
  • Extensive experience working directly with DoD, intelligence community, or other government and defense agencies on ISR, C3I, or C-UXS programs
  • Knowledge of regulatory requirements, standards, and policies governing unmanned systems, counter-unmanned systems, and ISR operations including applicable FAA, DoD, and NATO frameworks
  • Familiarity with AI/ML applications for autonomous threat detection, ISR data exploitation, and C-UXS decision support
  • Experience with electronic warfare (EW) techniques and technologies as applied to C-UXS defeat mechanisms
  • Knowledge of RF spectrum management, signal intelligence (SIGINT), and electronic intelligence (ELINT) systems relevant to ISR and C-UXS operations
  • Experience with Agile, Model-Based Systems Engineering (MBSE), or DevSecOps development methodologies applied to defense systems
  • Certification in Project Management (PMP) or Systems Engineering (INCOSE CSEP/ESEP) or equivalent
  • Familiarity with DoD Architecture Framework (DoDAF) and its application to C3I and ISR system design
  • Experience supporting test and evaluation activities including developmental test (DT) and operational test (OT) for ISR, C3I, or C-UXS systems

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

What SAIC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply