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Machine Learning Developer Intern Jobs in Utica, NY

Stardog

Solutions Architect AFRL - Rome, NY

Rome, NY · On-site

Programming proficiency in Shell scripting (Bash/KSH) and Python * Familiarity with Machine Learning or Generative AI is highly desirable * Experience with graph data modeling, particularly in RDF ...

Stardog

Solutions Architect AFRL - Rome, NY

Rome, NY · On-site +1

Programming proficiency in Shell scripting (Bash/KSH) and Python * Familiarity with Machine Learning or Generative AI is highly desirable * Experience with graph data modeling, particularly in RDF ...

Technergetics

On-Site Integrated Photonics Engineer

Rome, NY · On-site

$85K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

On-Site Integrated Photonics Engineer Position Details Salary Range: $85,000-$115,000 annually ... Experience with machine learning techniques for optimizing photonic designs or quantum systems

Pursuit Aerospace

Lead Data Scientist

Whitesboro, NY · On-site

$144K - $198K/yr

  • Medical

  • Retirement

  • PTO

Engineer trustworthy data: turn large, messy operational data into well-structured, trusted ... * 2+ years in SQL, Python, Machine learning modeling, and time-series analytics * Must be ...

Danfoss GmbH

Manufacturing Engineer

Utica, NY · On-site

$80 - $95/hr

  • Retirement

  • PTO

We promote from within and support your learning with mentoring, training, and access to global ... Danfoss engineers solutions that increase machine productivity, reduce emissions, lower energy ...

New

General Atomics

Cyber Analyst III

Rome, NY · On-site

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... engineering teams, and tracking remediation in accordance with applicable requirements and ...

General Atomics

Cyber Analyst III

Rome, NY · On-site

$141K - $262K/yr

Our systems apply state-of-the-art algorithms and machine learning techniques to extract features ... engineering teams, and tracking remediation in accordance with applicable requirements and ...

Arcfield

Software Engineer III

Rome, NY · On-site

$54.50 - $73.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Building solutions using virtual machines, cloud environments, repositories, databases, specialized ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Arcfield

Systems Engineer III

Rome, NY · On-site

  • Medical

  • Life

  • Retirement

  • PTO

... Machine technologies, Bash scripting, XML technologies/tools, Active Directory, and MS Exchange ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

Arcfield

Software Engineer III with Security Clearance

Rome, NY · On-site

$54.50 - $73.25/hr

  • Medical

  • Life

  • Retirement

  • PTO

Building solutions using virtual machines, cloud environments, repositories, databases, specialized ... Learning and Development opportunities, wellness programs as well as other optional benefit ...

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Showing results 21-40

All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Utica, NY

Machine Learning Developer Intern information

See Utica, NY salary details

$26.1K

$43.5K

$89.9K

How much do machine learning developer intern jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning developer intern in Utica, NY is $43,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,000.00 per year, depending on experience, location, and employer.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Utica, NY are hiring for Machine Learning Developer Intern jobs?

Cities near Utica, NY with the most Machine Learning Developer Intern job openings:

Machine Learning Developer Intern jobs near you

Solutions Architect AFRL - Rome, NY

Stardog

Rome, NY • On-site

Full-time

Posted 21 days ago

Job description

Stardog, the leading Enterprise Knowledge Graph platform, turns data into knowledge to power more effective digital transformations. Industry leaders including Bosch, NASA, and Raytheon use Stardog to create a flexible data layer that can support countless applications. One of Fast Company's prestigious Most Innovative Companies, Stardog is a fast-growing venture-backed company with a globally distributed team.
We are looking for a motivated and skilled Solution Architect to join our growing team. In this role, you will be responsible for delivering technology solutions that align with business goals and technical requirements. You will work closely with stakeholders, including business leaders, project managers, developers, and other architects, to ensure the successful design and implementation of solutions across multiple platforms. You will handle multiple concurrent projects. You need to be comfortable with and have experience working remotely. You must have strong communication skills as much of our interactions will be over email and chat where it is harder to get your point across.
Requirement
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
  • Minimum of 7 years experience working with data operations for enterprises, especially supporting RDF, ETL (Nifi), SQL (DB2, Oracle, etc.)
  • Security Clearance: Active DoD Secret clearance is highly desired; however, U.S. Citizens with the ability to obtain and maintain a Secret clearance will be considered.
  • Clearance Requirement: Position requires U.S. Citizenship and the ability to obtain a Secret security clearance. Continued employment is contingent upon successfully obtaining and maintaining the required clearance level.
  • Familiarity with cloud platforms (AWS, Azure, K8S, Docker, Openshift etc) and development frameworks (e.g., microservices, APIs).
  • Programming proficiency in Shell scripting (Bash/KSH) and Python
  • Familiarity with Machine Learning or Generative AI is highly desirable
  • Experience with graph data modeling, particularly in RDF for large enterprise environments.
  • Experience with Databricks or equivalent data stack is highly desirable
  • Basic understanding of software development, systems architecture, and design patterns.
  • Strong analytical and problem-solving skills with a willingness to learn and grow.
  • Excellent communication skills and the ability to collaborate effectively with team members and stakeholders.
  • A keen interest in technology and a passion for solution design and architecture.
  • Demonstrated experience working with a cross-functional and geographically dispersed team.
  • Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Responsibilities
Solution Design:
  • Design solutions based on business requirements and technical needs.
  • Support data modeling, ontology design, and schema development based on customer use cases.
  • Help in creating architecture diagrams, technical specifications, and documentation.
  • Assist in evaluating and recommending technologies and tools that align with project requirements.

Collaborate with Teams:
  • Collaborate with cross-functional teams including software engineers, sales engineers, analysts, support engineers, project managers and customer success managers to ensure alignment on project goals and deliverables.
  • Participate in design and technical discussions to gain insights into solution architecture best practices.

Technical implementation:
  • identifying technical challenges and issues with customer SMEs.
  • Help troubleshoot problems and find effective solutions during the design and implementation phases.
  • Support cloud-based implementations on AWS, Azure and GPC.
  • Assist in ETL processes, data source integration, and pipeline development to ingest customer data into the Stardog's knowledge graph platform.
  • Write and execute SPARQL queries, graph transformations, and data validation scripts to ensure accuracy and consistency.
  • Work closely with presales engineers to develop proof-of-value (POV) solutions.

Learning and Development:
  • Continuously learn about new technologies, trends, and best practices in solution architecture and Knowledge Graphs.
  • Develop a solid understanding of data modeling and software development methodologies.

Documentation:
  • Assist in maintaining technical documentation, including design documents, architecture diagrams, and implementation guides.
  • Ensure that all documentation is clear, accurate, and up to date.

$125 - $135 a year
Stardog is proud to be an Equal Employment Opportunity Employer. Individuals seeking employment at Stardog are considered without regard to race, color, religion, sex, age, national origin, disability, veteran status or any other characteristic protected by law.
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.

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