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Remote Machine Learning Jobs in Indianapolis, IN

Kobie Marketing

Senior Software Engineer

Indianapolis, IN · Remote

$125K - $165K/yr

As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in-person connection and collaboration that strengthens our teams, supports our clients, and enhances ...

Preventia

Software Developer

Indianapolis, IN · On-site +1

We have a flexible work environment with a mixture of remote work and in office hours. Responsibilities: * Collaborate cross-functionally with business users, executive leadership team, and other ...

eimagine

Software Engineer - .NET

Indianapolis, IN · Remote

At eimagine, we know that your best work happens when you live your best life and share your unique talents, so we do everything we can to be intentional in a remote enabled environment to make that ...

eimagine

Software Engineer - .NET

Indianapolis, IN · Remote

Overview At eimagine, we know that your best work happens when you live your best life and share your unique talents, so we do everything we can to be intentional in a remote enabled environment to ...

Bottleless Nation

Low Code Developer

Indianapolis, IN · Remote

Ideal candidates are comfortable learning new technologies, analyzing processes, and developing efficient, user‑friendly solutions that support operational excellence. If you are naturally ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Indianapolis, IN

Remote Machine Learning information

See Indianapolis, IN salary details

$24.4K

$40.7K

$84.1K

How much do remote machine learning jobs pay per year?

As of Aug 16, 2026, the average yearly pay for remote machine learning in Indianapolis, IN is $40,704.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Indianapolis, IN?

The most popular types of Machine Learning jobs in Indianapolis, IN are:

What are popular job titles related to Remote Machine Learning jobs in Indianapolis, IN?

For Remote Machine Learning jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in Indianapolis, IN look for?

The top searched job categories for Remote Machine Learning jobs in Indianapolis, IN are:

What cities near Indianapolis, IN are hiring for Remote Machine Learning jobs?

Cities near Indianapolis, IN with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Indianapolis, IN as of August 2026, with employment types broken down into 15% Internship, 43% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,704 per year, or $19.6 per hour.

Senior Software Engineer

Kobie Marketing

Indianapolis, IN • Remote

$125K - $165K/yr

Full-time

Re-posted 4 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 
 
·         Flexible Time Off to recharge when needed 
·         Nine Company-Wide Holidays 
·         A diverse suite of benefits prioritizing your growth, development, and personal well-being 
 
Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 
 
Travel Requirements:
As a remote-first organization headquartered in St. Petersburg, Florida, Kobie values meaningful in-person connection and collaboration that strengthens our teams, supports our clients, and enhances our culture. While travel requirements vary by role, periodic travel may be required to support business objectives, team collaboration, customer engagements, training, and company events. Candidates should be able and willing to travel as needed to fulfill the responsibilities of the role. 
 
How you will make an impact
  • Make rapid improvements to existing Java/Angular Code base to solve production problems
  • Identify and solve performance bottlenecks
  • Help institute a more mature SDLC
  • Gain knowledge and control of our loyalty platform integration points (live API's, Batch, Queue based processing).
  • Participate in design sessions; work with product owners and team members to solve acceptance criteria
  • Build and maintain all configuration and business logic rule documentation
  • Assist other team members through coaching and mentoring
  • Promote and demonstrate good coding practice and patterns for the team
  • Set accurate time estimates and scope of work for tasks and/or projects assigned to you
  • Fill information gaps as needed to accomplish gaps
  • Develop simple solutions to complex problems
  • Suggest innovative new ways to improve processes and/or components of work
  • Effectively work with other groups and third parties
What you need to be successful
  • 5+ years of experience designing and developing applications and components using Java and Spring (Prefer JDK 11+ with Spring Boot)
  • 3+ years of experience developing RESTful services using JSON
  • Experience developing microservice cloud applications (Oracle, AWS, or Azure)
  • 3+ years of experience developing SQL multi-table queries, inserts, and updates (Prefer Oracle / PostgreSQL)
  • Experience tuning SQL statements with execution explain plans
  • Familiarity with Agile (e.g., Scrum Process)
  • Bachelor’s Degree in Computer Science or related field is preferred
  • Experience developing Loyalty, Accounting, or Banking applications preferred
  • Message Queues (RabbitMQ, ActiveMQ, Kafka Streams) preferred
  • Building Docker containers and configuring Kubernetes clusters (kubectl, Docker for Desktop) preferred
  • Build Management tools (Bitbucket/Git, Gradle, Bamboo) preferred
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.