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Temporary Machine Learning Postdoc Jobs in Utah (NOW HIRING)

This temporary internship runs through the end of October and provides hands-on experience with ... Comfortable learning new software and technologies. * Basic computer proficiency, including ...

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Temporary Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Postdoc, and why are they important?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a Temporary Machine Learning Postdoc expect to engage in during their appointment?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is a Temporary Machine Learning Postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

What are the most commonly searched types of Machine Learning Postdoc jobs in Utah? The most popular types of Machine Learning Postdoc jobs in Utah are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in Utah? For Temporary Machine Learning Postdoc jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in Utah look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in Utah are:
What cities in Utah are hiring for Temporary Machine Learning Postdoc jobs? Cities in Utah with the most Temporary Machine Learning Postdoc job openings:
Project Coordinator Intern

Project Coordinator Intern

Namify LLC

Springville, UT • On-site

Other

Posted 12 days ago


Job description

Description

ABOUT US:

Namify is in the business of belonging. For over 20 years, companies of all sizes have partnered with us to elevate their recognition programs, corporate gifting strategies, branding initiatives, and employee engagement. Through automation and more sustainable practices, we are revolutionizing an industry that has traditionally been wasteful and awkward. We are looking for energetic "inclusion superheroes" to join the cause. If you are a detail-oriented person and like the idea of creating more happiness in the workplace, we want to talk to you ... like yesterday. We're growing fast because the world recognizes how desperately services like ours are needed.


ABOUT THIS JOB:


The Project Coordinator Intern will support internal projects by helping keep tasks organized, up to date, and moving forward. Working closely with the IT Project Manager and project teams, you will maintain project documentation, update project tracking systems, coordinate communication between stakeholders, and help ensure tasks are completed on schedule. This temporary internship runs through the end of October and provides hands-on experience with project coordination, project management tools, and cross-functional collaboration. We're looking for someone who is dependable, eager to learn, and able to stay organized while following established processes.


 RESPONSIBILITIES:

  • Maintaining and updating project statuses in Asana to accurately reflect current progress.
  • Collecting regular project updates from developers and stakeholders and documenting them within project tracking systems.
  • Assisting with the preparation and distribution of weekly project status reports.
  • Coordinating project meetings, including scheduling, preparing agendas, taking meeting notes, and documenting action items.
  • Translating approved project scope into organized development tasks within Azure DevOps under the guidance of project leadership.
  • Tracking open action items, deadlines, and follow-up tasks to help keep projects on schedule.
  • Identifying potential blockers, risks, or delays and communicating them to the IT Project Coordinator.
  • Maintaining project documentation, change logs, and project records to ensure visibility and organization.
  • Supporting sprint planning and execution by helping ensure tasks remain current and accurately tracked.
  • Collaborating with cross-functional teams to support successful project execution.
  • Any other tasks as assigned


 BENEFITS AND COMPENSATION:

  • $18/hour
  • Monthly company lunch
  • Experience days

Requirements

Must have proper documentation for employment in the United States 

Must pass a pre-employment drug screen

High School diploma or equivalent preferred 


REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES:

  • Currently pursuing or recently completed a degree in Information Technology, Information Systems, Business, Computer Science, Project Management, or a related field.
  • Strong organizational and time management skills.
  • Excellent written and verbal communication skills.
  • High attention to detail with the ability to manage multiple tasks simultaneously.
  • Ability to prioritize work and follow established processes.
  • Comfortable learning new software and technologies.
  • Basic computer proficiency, including Microsoft Office or Google Workspace.
  • Ability to work collaboratively with cross-functional teams.
  • Self-motivated with a willingness to ask questions and learn.
  • Ability to sit and work at a computer for extended periods throughout the workday.

SPECIAL CONSIDERATION FOR:

  • Familiarity with Asana, Jira, Azure DevOps, or similar platforms
  • Exposure to Agile or Scrum methodologies

 THIS POSITION REPORTS TO:

  • IT Project Manager

 SCHEDULE:

  • Monday to Friday, 9:00am-5:00pm (Full-time)
  • Remote work not available

WORK SPACE INFO:  

This job operates in a warehouse environment which requires standing, moving, lifting, and operating machinery and computers. Personal Protection Equipment may be required. Safety training is mandatory and employees must be able to pass basic safety requirements.


TRAINING:

Training for this position will be completed by the department manager. Training will consist of education on key processes, preparation and staging requirements by customer, location of tools, supplies and materials. You will be trained on how to use the order interface, how to properly read orders and where to look for notes. Additional training will be completed as processes evolve or as required.


SAFETY:

Namify enforces a safety culture whereby all employees have the responsibility for continuously developing and maintaining a safe working environment.  Each incumbent is responsible for completing all training requirements and fulfilling self-aid/buddy-aid responsibilities, participating in emergency response tasks as requested, and serving on safety committees and teams as requested.  In addition, the incumbent must accept that they have responsibility for maintaining the safety of themselves and others by adhering to all written and verbal instructions, promptly reporting and/or correcting all hazards or unsafe conditions, questioning nonstandard operations or environmental factors that may involve unmitigated hazards, and providing feedback to site leads and management on all safety issues.