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Founding Machine Learning Engineer Jobs in Indianapolis, IN

Keystone

ML Engineer

Indianapolis, IN · On-site

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). * Excellent ...

Keystone Cooperative

ML Engineer

Indianapolis, IN · On-site

... machine learning models and algorithms to solve complex business problems and improve operational ... or Data Engineer, preferably with experience incorporating AI/ML methodologies. • Strong ...

Pwc

US Tech - AI Engineering Manager

Indianapolis, IN · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

GMV

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Perfecto Tool and Engineering

Machine Builder

Anderson, IN · On-site

$17.75 - $23/hr

This role is accountable for assembling components per engineering specifications, maintaining ... Customer Experience, Integrity, Learning, and Stewardship. Requirements Role Specific Capabilities ...

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All JobsFounding Machine Learning Engineer JobsFounding Machine Learning Engineer Jobs in Indianapolis, IN

Founding Machine Learning Engineer information

See Indianapolis, IN salary details

$30.1K

$123.1K

$185K

How much do founding machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for founding machine learning engineer in Indianapolis, IN is $123,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses are also common components of compensation, especially in startup environments where they play a significant role in total earnings.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

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

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.
What are popular job titles related to Founding Machine Learning Engineer jobs in Indianapolis, IN? For Founding Machine Learning Engineer jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Founding Machine Learning Engineer jobs in Indianapolis, IN look for? The top searched job categories for Founding Machine Learning Engineer jobs in Indianapolis, IN are:
What cities near Indianapolis, IN are hiring for Founding Machine Learning Engineer jobs? Cities near Indianapolis, IN with the most Founding Machine Learning Engineer job openings:
Founding Machine Learning Engineer jobs near you
Infographic showing various Founding Machine Learning Engineer job openings in Indianapolis, IN as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $123,086 per year, or $59.2 per hour.

ML Engineer

Keystone

Indianapolis, IN • On-site

Full-time

Re-posted 21 days ago

Job description

Job Description

Overview: Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in driving our AI-driven product development initiatives. The successful candidate will possess a strong understanding of data analysis, along with the ability to apply AI and ML methodologies to enhance our products.

Must be authorized to work in the United States now and in the future, without company sponsorship. Must be able to work onsite in the corporate office in Indianapolis, Indiana. (This role is not hybrid or remote).

Duties and Responsibilities:

Include but are not limited to:

  • Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions tailored to those needs.
  • Utilize Snowflake Cortex and other AI/ML development tools to design, implement, and optimize data models and algorithms.
  • Conduct exploratory data analysis to uncover trends, patterns, and insights that can inform business decisions.
  • Analyze complex datasets to extract actionable insights that inform product development strategies.
  • Conduct complex statistical analyses, including regression modeling, hypothesis testing, and predictive analytics, to forecast trends and inform strategic decisions.
  • Assist in developing machine learning models and algorithms to solve complex business problems and improve operational efficiency.
  • Create and maintain detailed documentation of data analysis processes and AI/ML model development.
  • Monitor and evaluate the effectiveness of AI/ML models in production and refine them as needed.
  • Provide training and support to team members and stakeholders on data analysis tools and techniques.

Skills and Qualifications:

  • Proven experience as a Data Analyst or Data Engineer, preferably with experience incorporating AI/ML methodologies.
  • Strong expertise in data analysis tools and languages (e.g., Python, R, SQL).
  • Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex findings in a clear and concise manner.
  • Strong teamwork and collaboration skills.

Education and Experience:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's degree preferred.

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