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Founding Machine Learning Engineer Jobs in Carmel, IN

Simos

Machine Technical Associate

Greenfield, IN · On-site

$22 - $30/hr

Description Launch your machine learning career in Greenfield, IN as a Machine Technical Associate ... Knowledge of CNC and PLC systems and programming * Knowledge of robots * Demonstrated casting ...

Major Tool & Machine

AI Engineer

Indianapolis, IN · On-site

Design, develop, and deploy machine learning models and algorithms from proof of concept through ... Engineering. Five years or more experience deploying AI solutions at scale. Experience

eTeam

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Job Summary : eTeam is a company focused on AI and machine learning solutions, and they are seeking an AI/ML Engineer to lead technical initiatives. The role involves designing and optimizing machine ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Elevance Health

Engineer Senior

Indianapolis, IN · On-site

$99K - $137K/yr

Researches, evaluates, and proposes new technologies, including Generative AI, LLM applications, automation frameworks, AI engineering practices, and applied machine learning solutions. * Designs ...

Elevance Health

Engineer Senior

Indianapolis, IN · Hybrid

$99K - $137K/yr

Researches, evaluates, and proposes new technologies, including Generative AI, LLM applications, automation frameworks, AI engineering practices, and applied machine learning solutions. * Designs ...

Elevance Health

Engineer Senior

Indianapolis, IN · On-site +1

$99K - $137K/yr

Researches, evaluates, and proposes new technologies, including Generative AI, LLM applications, automation frameworks, AI engineering practices, and applied machine learning solutions. * Designs ...

Pwc

AI Solutions Engineering Delivery Lead

Indianapolis, IN · On-site

$98K - $129K/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 ...

New

Opportunity Education

Founding Principal

Fishers, IN · On-site

Leveraging its expertise in learning science, Opportunity Education developed Quest Forward ... Opportunity Education's investment in facilities and programming will provide an innovative ...

Onebridge

AI Developer

Indianapolis, IN · On-site

They are seeking a highly skilled AI Developer responsible for designing, developing, and deploying ... Responsibilities : • Design, develop, and implement AI and machine learning models to solve ...

GMV

AI Software Engineer

Anderson, IN · On-site +1

$48.25 - $64/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 ...

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

Founding Machine Learning Engineer information

See Carmel, IN salary details

$31.5K

$128.6K

$193.2K

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

As of Jul 26, 2026, the average yearly pay for founding machine learning engineer in Carmel, IN is $128,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,800.00 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.

What engineer makes $500,000 a year?

A founding machine learning engineer at top tech companies or successful startups can earn $500,000 or more annually, often including base salary, bonuses, and equity. Such roles typically require advanced skills in deep learning, data modeling, and experience with large-scale systems, along with a strong track record of innovation and leadership.

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 is a founding ML engineer?

A founding machine learning engineer is a key technical team member involved in building and developing the company's initial machine learning systems and infrastructure. They typically have strong skills in programming, data modeling, and deploying ML models, often working closely with product teams during the startup or early-stage company formation. This role requires a combination of technical expertise and entrepreneurial mindset to shape the company's AI capabilities from the ground up.

Is a machine learning engineer still in demand?

Yes, machine learning engineers are in high demand due to the increasing adoption of AI and data-driven solutions across industries. They are sought after for their skills in algorithms, programming, and tools like Python and TensorFlow, with job growth expected to continue as AI applications expand.

Which 5 jobs will survive AI?

Founding Machine Learning Engineers are likely to continue playing a crucial role as AI advances, focusing on developing and deploying complex models that require specialized skills in programming, data science, and system architecture. Jobs that involve high levels of creativity, strategic decision-making, and human interaction—such as healthcare professionals, educators, skilled trades, and roles in management—are also expected to persist despite AI automation. These positions typically require emotional intelligence, critical thinking, and adaptability that AI cannot easily replicate.

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.
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Founding Machine Learning Engineer jobs near you

Machine Learning Engineer

Bespoke Labs

Indianapolis, IN • On-site

Full-time

Posted 9 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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