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Part Time Machine Learning Visa Sponsorship Jobs

Lead Machine Learning Engineer

Plano, TX ยท On-site +1

$98K - $130K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215 ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215 ...

Lead Machine Learning Engineer

Manhattan, NY ยท On-site +1

$112K - $148K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215 ...

Machine Repair

Menomonee Falls, WI ยท On-site

$49.82/hr

Harley-Davidson Motor Company Full or Part-Time:Full Time Shift: 2nd or 3rd Shift Pay Rate: $49.82 ... This position is not eligible for visa sponsorship Relocation: This position is eligible for ...

Machine Repair

Menomonee Falls, WI ยท On-site

$49.82/hr

Harley-Davidson Motor Company Full or Part-Time:Full Time Shift: 2nd or 3rd Shift Pay Rate: $49.82 ... This position is not eligible for visa sponsorship Relocation: This position is eligible for ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Candidates hired to ...

$176K/yr

Machine Learning Engineer The Opportunity: As an experienced AI and ML engineer, you know that ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Candidates hired to ...

Lead Machine Learning Engineer

Mclean, VA ยท On-site +1

$103K - $136K/yr

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Candidates hired to ...

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Part Time Machine Learning Visa Sponsorship information

See salary details

$25.5K

$42.6K

$88K

How much do part time machine learning visa sponsorship jobs pay per year?

As of Jul 1, 2026, the average yearly pay for part time machine learning visa sponsorship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by part-time machine learning professionals working under visa sponsorship?

Part-time machine learning professionals on visa sponsorship often navigate unique challenges such as balancing strict work-hour limitations with project deadlines and expectations. They may also encounter complexities related to communication and integration with full-time teammates, especially if work schedules differ. Additionally, understanding visa compliance requirements and maintaining eligibility for continued sponsorship can add administrative responsibilities. However, many organizations offer structured onboarding and clear channels for support to help part-time sponsored employees succeed in their roles.

What is a Part Time Machine Learning Visa Sponsorship job?

A Part Time Machine Learning Visa Sponsorship job is a role where an employer hires an individual to work in the field of machine learning on a part-time basis and is willing to sponsor their visa to work legally in the country. These positions are ideal for international candidates who have expertise in machine learning but require visa support. Responsibilities typically include developing, testing, and deploying machine learning models while adhering to the work hour limitations of a part-time position. Sponsorship may depend on the company's policies and local immigration regulations. It's important to check the specific visa type and eligibility requirements before applying.

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

To thrive as a Part-Time Machine Learning Engineer, you generally need a strong background in mathematics, statistics, programming (often Python), and hands-on experience with machine learning algorithms, usually supported by a relevant degree or coursework. Familiarity with ML frameworks like TensorFlow or PyTorch, version control systems such as Git, and cloud platforms like AWS or GCP is typically required, and certifications can enhance your profile. Strong problem-solving abilities, effective communication, and time management skills are essential soft skills for collaborating on projects and balancing part-time responsibilities. These skills and qualifications are crucial for developing robust machine learning solutions efficiently while meeting project goals and deadlines.

What is the difference between Part Time Machine Learning Visa Sponsorship vs Part Time Data Scientist Visa Sponsorship?

AspectPart Time Machine Learning Visa SponsorshipPart Time Data Scientist Visa Sponsorship
Required CredentialsRelevant degrees in computer science, data science, or related fields; certifications in machine learningDegrees in data science, statistics, or related fields; certifications in data analysis
Work EnvironmentResearch labs, tech companies, startups focusing on AI/ML projectsBusiness analytics, research teams, consulting firms
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, consulting, and tech industries

Both roles require similar educational backgrounds and certifications, often working in tech or research environments. The main difference lies in focus: machine learning roles emphasize developing algorithms, while data scientist roles focus on data analysis and insights. Visa sponsorship options are similar, but job responsibilities and industry applications differ slightly.

More about Part Time Machine Learning Visa Sponsorship jobs
What cities are hiring for Part Time Machine Learning Visa Sponsorship jobs? Cities with the most Part Time Machine Learning Visa Sponsorship job openings:
What are the most commonly searched types of Machine Learning Visa Sponsorship jobs? The most popular types of Machine Learning Visa Sponsorship jobs are:
What states have the most Part Time Machine Learning Visa Sponsorship jobs? States with the most job openings for Part Time Machine Learning Visa Sponsorship jobs include:
What job categories do people searching Part Time Machine Learning Visa Sponsorship jobs look for? The top searched job categories for Part Time Machine Learning Visa Sponsorship jobs are:
Infographic showing various Part Time Machine Learning Visa Sponsorship job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, and 24% Part Time. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Adjunct Faculty: How to "Be Creative" in Partnership with Computation & Machine Learning

Adjunct Faculty: How to "Be Creative" in Partnership with Computation & Machine Learning

San Francisco Bay University

Fremont, CA โ€ข On-site

$148.51/hr

Part-time

Posted yesterday


Key responsibilities

  • Design and/or deliver an innovative course on computational creativity and machine learning in the General Education curriculum.

  • Collaborate with colleagues and consultants on the development and refinement of the general education curriculum.

  • Implement innovative and inclusive teaching best practices to provide access and inclusion to a diverse student body.


Job description

About San Francisco Bay University:
San Francisco Bay University (SFBU), a nonprofit, WASC-accredited university situated in the heart of Silicon Valley in Fremont, California, seeks an innovative and experienced Adjunct Faculty. SFBU's mission is to offer inclusive, innovative, and inspirational education for lifelong careers and our vision is to set the standard as a national model of higher education in service of the common good.
At SFBU, students come first. We prioritize students' needs by fostering personal engagement among students, faculty, and staff. We are committed to providing affordable quality education with a deep commitment to diversity, equity, inclusion, and social justice.
We encourage you to learn more about SFBU by reviewing our strategic plan at https://www.sfbu.edu/strategic-plan.
Position Overview: San Francisco Bay University is seeking dynamic and dedicated adjunct faculty in computational creativity and innovation to design (remote) and/or deliver (remote or face-to-face) an innovative new course in our General Education curriculum. The course is titled How to "Be Creative" in Partnership with Computation & Machine Learning. The course explores the intersection of computer science, math, art, and design, examining how computational tools transform creativity while engaging with the ethical and philosophical questions they raise. Students will develop tactical computational skills, explore generative art, machine learning, and algorithmic design, and analyze how creativity intertwines with imagination, emotions, and innovation. Through hands-on projects, they will reveal connections between artistic expression, mathematical principles, and scientific phenomena. The course culminates in a final project where students synthesize their learning to harness computation as a creative tool.
This position does not offer visa sponsorship. You must be authorized to work in the US.
Teaching Excellence: Possess deep subject knowledge, pedagogical expertise, and the ability to engage students actively while adapting to their diverse needs. As we transition away from traditional lecture-based instruction, we seek faculty who understand and appreciate student-centered design and can adopt pedagogical practices stemming from this approach. These practices include active learning strategies, collaborative projects, problem-based learning, inquiry-based learning, flipped classroom models, and the use of formative assessments to inform and adjust teaching. We are looking for faculty with the skills and motivation to create a supportive and dynamic learning environment that emphasizes clear communication, collaboration, inclusivity, and continuous improvement. Faculty should be proficient in facilitating interactive discussions, promoting critical thinking, and guiding students to apply concepts to real-world scenarios. This approach aims to foster deeper understanding, engagement, and long-term retention of material among students.
Curriculum Development: Collaborate with colleagues and consultants on the development and refinement of the general education curriculum, incorporating the latest advancements in technology, ensuring alignment with disciplinary and community/industry needs and emerging trends, and leveraging best practices to position SFBU students for success throughout their academic and professional careers.
Inclusive Education: Implement innovative and inclusive teaching best practices that reflect our core value of providing access and inclusion to a diverse student body.
Quality Improvement: Active engagement in course and program-level assessment design, data collection, review, and reporting.
Professional Learning: Attend teacher training and professional learning activities offered by SFBU's Center for Empowerment & Pedagogical Innovation (CEPI). Participate in student-centered formative and summative assessments of teaching performance. Remain current with emerging developments in general education, pedagogy, and related fields.
Required Qualifications:
โ€ข Masters Degree required; Doctorate Preferred in computer science, data science, and machine learning, or closely related field.
โ€ข Demonstrated teaching experience in general education and a commitment to excellence in pedagogy.
โ€ข A passion for mentoring and guiding students in their academic and professional growth.
โ€ข Strong communication skills and the ability to collaborate effectively with colleagues, students, and community partners.
โ€ข Commitment to diversity, equity, and inclusion in education and practice.
Preferred Qualifications:
โ€ข Experience in general education curriculum development.
Salary: SFBU compensation for 3-credit course delivery in general education is $11,880.80 ($148.51 per hour). Additional compensation non-instructional training(s).
Application Materials:
Interested candidates must submit the following application materials:
โ€ข A cover letter detailing candidate qualifications to teach How to "Be Creative" in Partnership with Computation & Machine Learning. The letter should also briefly discuss the candidate's teaching philosophy and show alignment with our mission and core values (https://www.sfbu.edu/strategic-plan).
โ€ข Curriculum vitae.
โ€ข Contact information for three professional references.
โ€ข Applications will be reviewed beginning immediately and continue until the position is filled.
San Francisco Bay University is committed to diversity, equity, and inclusion, and we welcome applications from individuals of all backgrounds. We encourage candidates who will contribute to our mission of fostering a diverse and inclusive educational environment to apply.
Join us in our mission to provide innovative, inclusive, and transformative education and help us shape the future of higher education in the heart of Silicon Valley. We look forward to welcoming a passionate Professor of Practice to our academic community.
This position description is not intended to cover or contain a comprehensive list of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time, with or without notice.
SFBU is an Equal Opportunity / Affirmative Action Employer: SFBU is committed to providing equal employment opportunities for all employees and applicants for employment. SFBU does not discriminate in employment opportunities or practices based on race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation, or any other characteristic protected by law.
In accordance with federal and state disability laws, San Francisco Bay University provides reasonable accommodations to applicants with disabilities. If you require assistance during the application or interview process, please contact SFBU Human Resources at hrmgr@sfbu.edu.