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Weekend Machine Learning Software Engineer Jobs in Cheyenne, WY

Conti Federal Services is a leading global construction and engineering company that has delivered ... We are committed to individual career development by offering a challenging yet learning-oriented ...

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Description Conti Federal Services is a leading global construction and engineering company that ... We are committed to individual career development by offering a challenging yet learning-oriented ...

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Field Engineer? Service Technician? Or do you want to start a career in this field? Are you tech ... We are building a learning community where you can work with diverse individuals, explore new ways ...

Field Service Technician I

Cheyenne, WY · On-site

$19 - $20.83/hr

Field Engineer? Service Technician? Or do you want to start a career in this field? Are you tech ... We are building a learning community where you can work with diverse individuals, explore new ways ...

... weekend shift to ensure product moves through the facility efficiently and effectively. This role ... Engineering, Business, or related field OR 4 years of experience in distribution center/warehouse ...

We foster a culture that embraces continuous learning, empowering you to develop your skills. From ... May be asked to work mornings, afternoons, nights, and/or weekends based on the facility's needs.

Spend your weekends fishing for trout and walleye at Seminoe State Park, hitting the ATV trails ... Makes adjustments and programming changes as seasonal demands and changes in occupied space ...

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Weekend Machine Learning Software Engineer information

See Cheyenne, WY salary details

$60.2K

$139.8K

$194.7K

How much do weekend machine learning software engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for weekend machine learning software engineer in Cheyenne, WY is $139,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $163,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Software Engineer, and why are they important?

To thrive as a Weekend Machine Learning Software Engineer, you need a solid background in computer science, programming (Python, Java, or C++), and applied mathematics, supported by experience with machine learning algorithms. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, effective time management, and the ability to work independently are vital soft skills in this role. These competencies are essential for efficiently delivering robust machine learning solutions during limited weekend hours and collaborating remotely with teams.

What are the typical responsibilities and collaboration expectations for a Weekend Machine Learning Software Engineer?

As a Weekend Machine Learning Software Engineer, you’ll often focus on addressing project backlogs, refining models, and supporting critical deployments during off-peak hours. You’ll typically collaborate remotely with data scientists, product managers, and other engineers through asynchronous communication or scheduled virtual check-ins. The role requires a high degree of independence and strong documentation skills, as well as the ability to quickly troubleshoot and implement solutions with limited direct supervision. This position is ideal for those who are self-motivated and enjoy contributing to core projects outside the standard workweek.

What is a Weekend Machine Learning Software Engineer?

A Weekend Machine Learning Software Engineer is a professional who specializes in developing and deploying machine learning models and software systems, but works primarily on weekends. These engineers often collaborate remotely or part-time, contributing to machine learning projects such as model training, data preprocessing, or integration into applications. The role typically requires strong programming skills, experience with machine learning frameworks, and the ability to work independently. Weekend positions may appeal to individuals seeking flexible schedules or supplemental income, while still engaging in advanced technical work.

What is the difference between Weekend Machine Learning Software Engineer vs Part-Time Data Scientist?

AspectWeekend Machine Learning Software EngineerPart-Time Data Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in Data Science, Statistics, or related fields; analytical skills
Work EnvironmentTech companies, startups, or research labs; project-based tasksResearch institutions, consulting firms, or corporate analytics teams
Usage in IndustryDeveloping ML models, algorithms, and software solutionsData analysis, modeling, and insights generation

The Weekend Machine Learning Software Engineer primarily focuses on developing and implementing machine learning models during weekends, often in a software engineering context. In contrast, a Part-Time Data Scientist emphasizes analyzing data, building statistical models, and deriving insights, often with a broader focus on data analysis rather than software development. Both roles may overlap in skills but differ in their core responsibilities and work environments.

Student Assistant, Concept Forge/AMMC (FWS Students Only)

Student Assistant, Concept Forge/AMMC (FWS Students Only)

Laramie County Community College

Cheyenne, WY • On-site

$13.33/hr

Other

Posted 12 days ago


Laramie County Community College rating

5.2

Company rating: 5.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

513th of 529 rated colleges and universities


Job description

Salary: $13.33 Hourly
Location : Cheyenne, WY
Job Type: Student
Job Number: 202500219
Division: Academic Affairs
Department: School of Outreach & Workforce Development
Opening Date: 08/20/2025
FLSA: Non-Exempt
Job Summary
*This position is only open to students who are Federal Work Study eligible.*
Are you curious about how ideas become reality through technology? As a Student Assistant in the Concept Forge and AMMC, you'll gain hands-on experience with 3D scanning, 3D printing, CNC machining, laser engraving, and other advanced manufacturing tools. This role supports students, faculty, and community members as they bring their projects to life, while also helping to maintain the equipment and spaces that make innovation possible.
Compensation: $13.33/hr.
Priority Screening Date: Position is open until filled.
Starting Date: As soon as practical after the hiring process.
Principal Responsibilities and Results, KSA's
ESSENTIAL FUNCTIONS: - this position is non-exempt and is eligible for compensatory or overtime pay provisions of the FLSA. This listing of essential duties is not all-inclusive, but representative, other duties may be assigned).
  • Operate equipment in the Concept Forge and AMMC while assisting others in learning how to use the equipment safely in the lab.
  • Assist in maintaining and cleaning equipment in the lab to ensure good long-term operations.
  • Maintain established rules and safety standards in the lab to ensure safe and proper use of equipment to limit risk of injury.
  • Assist department team members through preparing materials, monitoring supply inventories needed for consistent operation of equipment and assisting the operational functions of the department.
  • Provide general customer service through responding to visitors, and routing inquiries to the appropriate team member of the department.
  • Support the department with special projects and events through completing tasks as assigned.
  • Communicate and plan accordingly with the assigned supervisor to develop and establish a work schedule for the semester to allow for more availability for students wanting to access the lab.

Other tasks may be assigned based on contemporary institutional needs
PHYSICAL DEMANDS:
  • While performing the essential functions of this position a variable work schedule may be required
  • There may be occurrences of interacting with employees and/or students, past employees and/or students, members of the general public, and others who express opinions, may exhibit strong emotions, which will require the employee to interact professionally, diplomatically, and appropriately in such situations
  • While performing the essential duties of this position, an employee would frequently be required to move around the assigned work areas as well as within hallways, meeting rooms, and other parts of the campus facilities
  • There may be multiple/daily instances of prolonged sitting, standing, and personal computer use, which would include keyboard and/or mouse usage as well as viewing a computer monitor
  • An employee must frequently lift and/or move up to 50 pounds and occasionally lift and/or move more to perform essential position functions
  • Specific vision abilities required by this position include close vision, distance vision, and ability to adjust focus
  • The overall work environment requires the mental ability to shift focal point quickly due to interruptions; an employee must be able to mentally track multiple projects and tasking as well
  • The noise level in the work environment is usually moderate; however, there may be instances of somewhat loud environments.

NOTE: This position description is a general description; it is not intended as an employment contract, nor is it intended to describe all duties someone in this position may perform. All employees of the College are expected to perform other tasks as assigned by their respective supervisor/manager regardless of job title or routine job duties.
Education and Experience Requirements
Minimum Qualifications:
  • High school diploma, GED, or equivalent.
  • Current LCCC student and continued enrollment in a minimum of 6 credits a semester, (exceptions may be given for summer term with supervisor approval).
  • Federal Work Study eligible.

Preferred Qualifications:
  • One year of experience in an office setting working with Microsoft Office Software. (Excel, Word, Etc.)
  • Knowledge or interest in the tools and equipment offered in a makerspace environment (3D printers, laser etchers, sewing machines, heat press, vinyl cutters, sublimation, etc.).
  • Knowledge of machine shops (manual/CNC machining, Precision Measurement, etc.).

Notes
If you are selected for the position, your appointment is contingent upon successful completion of a background check. LCCC reserves the right to end this employment agreement should the results of your background investigation not be successful.
LCCC DOES NOT SPONSOR H1B VISAS.
Equal Opportunity Employer
Laramie County Community College is an equal opportunity educational institution and does not discriminate on the basis of race, color, national origin, sex, age, religion, disability, or veteran status in admission or access to, or treatment or employment in, its educational programs or activities.
The mission of Laramie County Community College is to transform our students' lives through the power of inspired learning. Our over-arching goal is that our accomplishments as a community college will distinguish LCCC from others in the nation, in turn benefiting our communities and bringing pride to the Great State of Wyoming. Our core values include Passion, Authenticity, and the Desire to Make a Difference.
This position is not eligible for benefits.
01
Do you have a high school diploma, GED or equivalent?
  • Yes
  • No

02
Are you a current LCCC student and continued enrollment in a minimum of 6 credits a semester?
  • Yes
  • No

03
Are you Federal Work Study eligible?
  • Yes
  • No

04
Currently, LCCC does not offer Visa sponsorship for new employees. Will you require a Visa sponsorship?
  • Yes
  • No

05
Can you perform the essential functions of the position in which you are applying for with or without reasonable accommodation?
  • Yes
  • No

Required Question