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Founding Machine Learning Engineer Jobs in Union City, IN

... programming and SQL knowledge. * Demonstrated experience building and deploying statistical and machine learning models to address business challenges. * Skilled in data wrangling, quality evaluation ...

Production Operator I

Lynn, IN · On-site

$15.50 - $18.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Operate machinery, small and/or heavy * Lift or move materials, parts, or finished goods Production ...

Production Operator I

Lynn, IN

$15.50 - $18.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Operate machinery, small and/or heavy * Lift or move materials, parts, or finished goods Production ...

Production Operator I

Lynn, IN · On-site

$15.50 - $18.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Operate machinery, small and/or heavy * Lift or move materials, parts, or finished goods Production ...

Production Operator I

Lynn, IN · On-site

$15.50 - $18.50/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... Operate machinery, small and/or heavy * Lift or move materials, parts, or finished goods Production ...

Founding Machine Learning Engineer information

See Union City, IN salary details

$28.7K

$117.3K

$176.2K

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

As of Aug 8, 2026, the average yearly pay for founding machine learning engineer in Union City, IN is $117,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $141,200.00 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 cities near Union City, IN are hiring for Founding Machine Learning Engineer jobs? Cities near Union City, IN with the most Founding Machine Learning Engineer job openings:
Infographic showing various Founding Machine Learning Engineer job openings in Union City, IN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $117,279 per year, or $56.4 per hour.

Software Engineer, Junior with Security Clearance

Skyline Scientific Inc.

Dayton, OH • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

JOB SUMMARY Are you looking for more than just a seat on a contract? Are you looking for more than just a seat on a contract? Are you tired of big-box defense contractors where your contributions get lost in layers of bureaucracy? At Skyline Scientific, your skills will shape the future. Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and algorithm development in support of national security missions. This role is ideal for someone who can do more than write assigned code. We are looking for someone who can understand a technical problem, design the software logic, build modular workflows, and work closely with sensor, data, and machine learning experts to turn complex technical concepts into usable tools. You do not need to be the sensor expert on day one. You also do not need to be a machine learning research scientist. You do need to be a strong coder, a clear thinker, and someone who is excited to work with scientists and engineers to build software that supports simulation, training data workflows, automation, analysis, and operational decision-making. We offer top-tier benefits, an entrepreneurial culture, and a tight-knit team of experts who are passionate about their craft. If you’re looking for real engineering challenges, supportive leadership, and the ability to make a direct impact, this is the place for you. This job opportunity is in Dayton, Ohio, and entails direct support to clients at Wright-Patterson AFB. Work may be performed in both Windows and Linux environments, including classified workspaces. Candidates must be comfortable working in secure customer environments. Why Skyline Scientific? Technical Mission Work: Build Python-based tools for sensor data, scientific data, training pipelines, simulation, automation, and mission analytics.
Small Expert Team: Work directly with scientists, sensor experts, machine learning specialists, and customers without excessive bureaucracy.
Industry-Leading Benefits: 15% employer 401(k) contribution with no employee contribution required, employer-paid healthcare, and one of the strongest benefits packages in the industry.
JOB RESPONSIBILITIES: Develop and maintain Python-based software for scientific, analytical, simulation, automation, machine learning, and operational applications.
Work with sensor experts, scientists, machine learning specialists, and analysts to translate technical concepts into software requirements, logic trees, schematics, and executable workflows.
Create clear software architecture, block diagrams, code structure, and documentation so that tools can be maintained, extended, and transitioned to other users.
Test, integrate, troubleshoot, and optimize algorithms, data pipelines, machine learning-enabled tools, and software modules into deployable software packages.
Manage, maintain, and optimize Git repositories REQUIRED QUALIFICATIONS: Bachelor’s degree in Engineering, Computer Science, Mathematics, Physics, Data Science, or a related STEM field. Equivalent technical experience may be considered.
3+ years of algorithm development, scientific computing, machine learning workflow support, or related technical software experience.
Programming experience for software development, data processing, automation, analysis, or algorithm implementation.
Ability to work from technical requirements and create logical software architecture, workflows, and implementation plans.
Comfortable collaborating with subject matter experts to understand data, algorithms, mission needs, and technical constraints.
Familiarity with source control and development tools such as Git, GitLab, Bitbucket, Jira, Jenkins, or similar tools.
U.S. citizenship and ability to obtain and maintain a security clearance.
Willingness and ability to work in classified or secure customer environments.
PREFERRED QUALIFICATIONS: Active Top Secret, TS/SCI
Experience with machine learning workflows, neural network applications, training data preparation, data labeling, model evaluation, or ML-enabled analytics.
Experience with sensor data, scientific data, signal processing, image processing, simulation, modeling, or equivalent technical data workflows.
Experience developing software for simulation, modeling, data workflows, automation, mission analysis, or scientific/engineering applications.
Experience creating software architecture diagrams, workflow schematics, logic trees, or technical implementation plans.
Background in mathematics, engineering, physics, image science, electrical engineering, computer engineering, or scientific computing.
Experience using Git Repository
Experience integrating algorithms into existing software suites or operational workflows.
Experience supporting defense, intelligence, aerospace, scientific, engineering, or classified customer environments.
Self-motivated, adaptable, and comfortable learning new technical domains. BENEFITS: Attractive Salary Paid Time Off (PTO): 25 days Medical, Dental & Vision: Employer-Paid
Disability & Life Insurance Coverage 401k:15% Employer Match (no contribution required) Profit Sharing Options Compressed Workweek Options Annual Performance Bonus Referral & Incentive Bonus Opportunities
Professional Development & Education Assistance
Relocation Assistance Options
Join Skyline Scientific—Where Innovation Meets Mission. This isn’t a role where you’ll sit idle on a contract—it’s an opportunity to design, develop, and deploy advanced software and AI-driven solutions that impact national security. If you're looking for a position where your expertise is valued, your work makes a difference, and you're surrounded by top-tier talent, apply today. Our company is an Equal Employment Opportunity employer. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, national origin, age, disability, or any other characteristic protected by law. We are committed to creating a diverse and inclusive work environment where all employees are valued and respected.