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Junior Machine Learning Engineer Jobs in Appleton, WI

TEKsystems

Cloud Platforms Engineer

Oshkosh, WI

$35 - $50/hr

The engineer will build and maintain Azure AI platforms including Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Azure AI Search, Cognitive Services, and the supporting Azure infrastructure ...

Valmet

Junior Mechanical Trainer

Green Bay, WI · On-site

$61K - $80K/yr

You will collaborate closely with Italian counterparts, technicians, engineers, service managers ... safe and structured learning environment for all training participants. • Build strong ...

Valmet

Junior Mechanical Trainer

Green Bay, WI · On-site

$61K - $80K/yr

Collaborate with engineering, service teams, and Italian counterparts to ensure alignment on ... Promote a safe and structured learning environment for all training participants. Build strong ...

Aerotek

Machine Operator

Greenville, WI · On-site

$31/hr

... programming, and running fabrication machinery while ensuring parts move accurately to their next ... The environment supports continuous learning, cross-training, and long-term career development in ...

Oshkosh Corporation

Reliability Engineer

Oshkosh, WI · On-site

$64K - $103K/yr

Background in predictive analytics or machine learning. * Experience working with large datasets ... Programming experience for automation and data processing (Python, VBA, etc.). #LI-AG1 Pay Range ...

Applied Engineering

Process Engineer

Oshkosh, WI

$97K - $112K/yr

Improve machining and assembly processes to strengthen safety, quality, throughput, and overall ... Excellent interpersonal skills and a learning mindset * Curiosity, problem solving, and analytical ...

Applied Engineering

Process Engineer

Appleton, WI

$97K - $112K/yr

Improve machining and assembly processes to strengthen safety, quality, throughput, and overall ... Excellent interpersonal skills and a learning mindset * Curiosity, problem solving, and analytical ...

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All JobsMachine Learning Engineer JobsJunior Machine Learning Engineer JobsJunior Machine Learning Engineer Jobs in Appleton, WI

Junior Machine Learning Engineer information

See Appleton, WI salary details

$32.7K

$70.1K

$106.8K

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

As of Sep 1, 2026, the average yearly pay for junior machine learning engineer in Appleton, WI is $70,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $78,100.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
More about Junior Machine Learning Engineer jobs

What cities near Appleton, WI are hiring for Junior Machine Learning Engineer jobs?

Cities near Appleton, WI with the most Junior Machine Learning Engineer job openings:

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Appleton, WI as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 74% In-person, 6% Hybrid, and 20% Remote job distribution, with an average salary of $70,057 per year, or $33.7 per hour.

Senior AI Engineer (Breakthrough)

Green Bay, WI • On-site

US Venture, Inc.
Trucking • 1 - 5K employees

8.2

Company rating: 8.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

92nd of 427 rated retail wholesalers

People enjoy working here

Good employer

Paid breaks

Learn more about US Venture, Inc.external

$101K - $139K/yr

Full-time

Re-posted 26 days ago

Job description

POSITION SUMMARY
Join our Breakthrough Engineering team with our newly added Senior AI Engineer role! We are seeking a talented and experienced senior level engineer with a background in generative AI and machine learning to join our innovative engineering team. In this role, you will contribute to the design, development, and maintenance of full-stack software solutions, with a focus on integrating AI/ML technologies to enhance our products and services.
Over $20 trillion of freight moves through the U.S. economy every year, and most of it is still managed through fragmented data, manual processes, and knowledge that lives in people's heads. We're changing that. Breakthrough is building agentic AI that can reason through complex, customer-specific freight scenarios and operate reliably in workflows where the stakes are measured in real dollars.
Agentic capability is becoming the foundation of how every product in our portfolio works. This is not a side project. You'll join a team of engineers, product managers, and domain experts building production agentic systems from the ground up.
Freight is a deceptively complex domain: fragmented data sources, constantly shifting constraints, and an ecosystem of carriers, shippers, and intermediaries that doesn't sit still.
The problems you'll work on include:
• Designing agent reasoning that navigates complex, customer-specific freight scenarios
• Solving entity resolution and data integration across diverse data sources
• Building evaluation and reliability frameworks that prove agent decisions are sound before they touch customer workflows
• Defining orchestration patterns that scale from a single product to platform-wide agentic capability
You'll work with years of real, proprietary freight data. You'll influence how these agents interact with users, working alongside product, design, and domain experts. This is not a research role. We ship. But the people who thrive here think deeply about how agents should work, not just how to make them work right now. If you've been building agentic systems and want to see what happens when they meet a hard, real-world domain with real data and real consequences, this is where that work happens.
This role is open to work on-site in Green Bay or remote/hybrid options based on relevancy of candidate experience. Note that final candidates will be required to interview on-site for this position.
JOB RESPONSIBILITIES
Generative AI and Machine Learning Development:
  • Implement and integrate generative AI models and machine learning algorithms into existing and new software solutions.
  • Fine-tune and optimize pre-trained AI/ML models for specific use cases.
  • Collaborate with engineers and data scientists to build and deploy scalable AI-driven features.

Full Stack Development:
  • Write clean, efficient, and maintainable code for AI-powered software applications.
  • Contribute to both frontend and backend development tasks as part of a cross-functional team, ensuring seamless integration of AI components.

Architectural Design:
  • Work closely with team members and product leads to understand requirements, design AI/ML-enabled features, and contribute to product success.
  • Participate in architectural discussions to determine the best ways to incorporate AI technologies into existing systems.

Technical Excellence:
  • Actively seek opportunities to learn about emerging AI/ML techniques, tools, and platforms.
  • Optimize and refactor code to address performance bottlenecks in AI/ML pipelines.
  • Write and execute robust unit and integration tests for AI/ML models and other software components.
  • Troubleshoot and resolve issues related to AI/ML model performance and system integration.

Innovation:
  • Stay updated on cutting-edge advancements in AI/ML, particularly in generative AI models.
  • Propose and implement creative solutions using AI to solve business problems and enhance user experiences.

Collaboration:
  • Partner with senior, staff, and principal engineers to refine development processes for AI/ML integration.
  • Share knowledge about AI/ML best practices with teammates and mentor junior engineers interested in the field.

QUALIFICATIONS
  • Bachelor's degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
  • 7+ years as a software or data engineer
  • 2+ years experience in AI/ML engineering
  • Experience using AI/ML libraries and frameworks (e.g., Google ADK, LangChain/Graph, Anthropic, GPT, Gemini, Llama, Vertex, TensorFlow, Scikit-learn ) training and fine-tuning machine learning models, including supervised, unsupervised, and reinforcement learning approaches.
  • Proficiency in multiple programming languages, frameworks, and technologies such as Python, SQL, ReactJS, Node.js, JavaScript, TypeScript, Apache Beam, dbt, and BigQuery.
  • Knowledge of application architectures, security best practices, and data integration concepts.
  • Exposure to modern infrastructure such as code technologies like Docker, Kubernetes, Terraform, and Airflow.
  • Understanding of database concepts, data modeling, and data warehousing principles.
  • Understanding of distributed data management systems and related applications.
  • Familiarity with public cloud infrastructure design, tools, and strategies.
  • Knowledge of software development methodologies including Agile, Kanban, and Scrum.
  • Effective communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.

Preferred:
  • Prior experience in a product focused technology team desired.
  • Prior experience with technical problem-solving and the ability to navigate complex technical challenges.

DIVISION:
Breakthrough
U.S. Venture will not offer sponsorship for employment status (including, but not limited to, H-1B, TN, E-3, F1, CPT, OPT, STEM OPT, visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require U.S. Venture's sponsorship to continue to work legally in the United States. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency except when there is a specific business need.
U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture.
U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at (920) 739-6101.
50-57-504-0000

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