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Machine Learning Flexible Hours Jobs (NOW HIRING)

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short ...

Kitware

Machine Learning Engineer

Arlington, VA · On-site

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short ...

Kitware

Machine Learning Engineer

Minneapolis, MN · On-site

$85K - $125K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short ...

Kitware

Machine Learning Engineer

Arlington, VA · Hybrid

$110K - $160K/yr

Machine learning experience using visual data * Understanding of a variety of machine learning ... flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short ...

Robinhood

Machine Learning Engineer

Bellevue, WA

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core ... Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

Q2

Machine Learning Engineer

Austin, TX

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Flexible Time Off * Career Development & Mentoring Programs * Health & Wellness Benefits, including ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Flexible Time Off * Career Development & Mentoring Programs * Health & Wellness Benefits, including ...

Cymertek

Machine Learning Engineer

Aurora, CO · On-site

Machine Learning Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

Cymertek

Machine Learning Engineer

Honolulu, HI · On-site

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this ... Flexible Work Schedule * Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately)

Shipwell

Machine Learning Engineer

Austin, TX · On-site +1

About the Role As a Machine Learning Engineer at Shipwell, you'll play a pivotal role in building ... flexible/health savings accounts * 401K program where Shipwell matches up to 4% * All employees ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

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Machine Learning Flexible Hours information

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$25.5K

$42.6K

$88K

How much do machine learning flexible hours jobs pay per year?

As of Jul 16, 2026, the average yearly pay for machine learning flexible hours 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.

Which 5 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI automates routine tasks but requires human oversight, creativity, and complex problem-solving. Jobs that involve emotional intelligence, complex decision-making, and hands-on skills, like healthcare professionals, educators, and skilled trades, are also likely to endure. Continuous learning and adapting to new tools remain essential for job security in an AI-driven workplace.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex models. AI is a tool that complements their work rather than replacing the need for skilled professionals in the field.

What is the difference between Machine Learning Flexible Hours vs Data Scientist Flexible Hours?

AspectMachine Learning Flexible HoursData Scientist Flexible Hours
CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, research labs, startups; project-basedBusiness analytics, research institutions, tech firms; collaborative teams
Industry UsageAI development, automation, predictive modelingData analysis, reporting, strategic decision-making

Both roles often offer flexible hours, but Machine Learning roles focus on developing algorithms and models, while Data Scientists analyze data to inform decisions. The choice depends on your skills and career goals within the data and AI industry.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, innovation, and extensive experience, and may be found in technology companies or research institutions with competitive compensation packages.

What does a machine learning job with flexible hours involve?

A machine learning job with flexible hours typically allows professionals to set their own work schedules instead of adhering to a strict 9-to-5 routine. These roles still require expertise in data analysis, algorithm development, and model training, but provide the freedom to work remotely or during non-traditional hours. Flexible arrangements are common in tech companies and startups, enabling better work-life balance while meeting project deadlines and collaborating with teams virtually.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their focus on developing, managing, and interpreting complex algorithms. These jobs require specialized skills, programming knowledge, and critical thinking that are difficult for AI to fully replicate. Continuous learning and expertise in tools like Python and TensorFlow enhance job security in this field.

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

To thrive as a Machine Learning Engineer with flexible hours, you need a solid background in computer science, statistics, and mathematics, often supported by a relevant degree and experience in developing machine learning models. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is highly valuable. Strong problem-solving skills, self-motivation, and effective communication help you excel when working independently and collaborating remotely. These skills are crucial for delivering impactful solutions, maintaining productivity, and ensuring successful project outcomes in a flexible work environment.

How do flexible hours impact collaboration and project delivery in a Machine Learning role?

In a Machine Learning role with flexible hours, collaboration is typically managed through asynchronous communication tools and scheduled meetings to ensure team alignment. While this flexibility allows for better work-life balance and can boost productivity, it also requires clear communication and proactive planning to meet project deadlines. Team members often coordinate their core working hours for critical discussions or decision-making, and use shared platforms to track progress and share updates. Adapting to this structure can be a challenge at first, but it often leads to a more autonomous and motivated team environment.
More about Machine Learning Flexible Hours jobs
What cities are hiring for Machine Learning Flexible Hours jobs? Cities with the most Machine Learning Flexible Hours job openings:
What states have the most Machine Learning Flexible Hours jobs? States with the most job openings for Machine Learning Flexible Hours jobs include:
What job categories do people searching Machine Learning Flexible Hours jobs look for? The top searched job categories for Machine Learning Flexible Hours jobs are:
Machine Learning Flexible Hours jobs near you
Machine Learning Engineer

Machine Learning Engineer

Kitware

Minneapolis, MN • On-site

$85K - $125K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Team Description:
Kitware is a leader in advanced research and algorithm development in artificial intelligence (AI), spanning computer vision (CV), natural language processing (NLP), vision-language models (VLMs), and other generative AI technologies. Our solutions embracing AI add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We have developed a deep understanding in extracting useful, actionable information from multiple data sources like images, video, metadata, audio, and text, and we recognize the need for robust, affordable solutions. We seek to advance AI, CV, and other related fields through research and development and collaborative projects that can contribute to our open source software platforms, such as XAITK, NRTK, and GeoWATCH.
 
About the Projects: 
Kitware's employees have unique opportunities to interact and collaborate directly with customers, visit interesting customer sites, and participate in live field tests and demonstrations. Much of Kitware's work involves applying state-of-the-art artificial intelligence approaches to dynamic, real-world problems. We consider the work that we do on our government contracts as one of the ways that we give back to the community. We partner with premier government R&D agencies such as DARPA, IARPA, AFRL, Army C5ISR, NOAA, and other branches of the US Government on a range of efforts, including prime contracts, SBIRs, and STTRs. In addition, we provide commercial services to companies ranging from startups to Fortune 500 companies. Kitware employs an open source business model to foster extended, collaborative communities and to provide effective, flexible, and high-quality technical solutions.
In This Position You Will:
  • Collaborate with researchers on projects related to machine learning, artificial intelligence, and computer vision 
  • Perform rapid prototyping and enhanced development to be integrated into operational systems
  • Contribute your strong programming ability and experience to develop robust solutions for real-world problems
  • Validate, optimize, and deploy advanced exploitation algorithms
  • Perform troubleshooting, bug fixes, and maintenance of existing and new code to ensure stability and robustness
Required Qualifications:
  • Bachelor's degree or Master's degree in Computer Science, Electrical and Computer Engineering, or related field
  • Proficiency in Python
  • Experience with deep learning libraries (PyTorch, TensorFlow, etc.)
  • Strong background in both classical and modern (deep learning) machine learning, including model selection, architecting, training, validation, testing, and deployment
  • Machine learning experience using visual data
  • Understanding of a variety of machine learning tasks, e.g. Object Detection, Segmentation, Re-Identification, Tracking, Pose, Super Resolution, Natural Language Processing
  • A high level of comfort with academic literature and the ability to adapt research products to solve real-world problems
  • Due to contractual requirements, only US Citizens will be considered for this position
  • If not already cleared TS/SCI, willingness and ability to apply for and maintain a TS/SCI security clearance
  • Some travel is required, typically 5-25%
  • Full-time on-site work at the Kitware Office
Preferred Qualifications:
  • Active SECRET, TS, or TS/SCI security clearance
  • Experience curating quality, real-world datasets for training deep learning models
  • Proficiency in C++
$85,000 - $125,000 a year
Company Description:
Kitware is a research and development software solutions provider with a mission to advance science, make a positive impact, and share our results all within a collaborative, employee-focused work environment that is friendly, fair, and flexible. Our work is improving healthcare outcomes, increasing national security, and advancing our national computing infrastructure. Our customers and collaborators include top universities from around the world, government organizations, national research labs, medical device manufacturers, car manufacturers, financial institutions, and many others.  
 
Kitware is proud to be 100% employee-owned, and Great Place to Work-Certified.  
 
Additional Information:
Our team members enjoy a small company environment, flexibility in work assignments, and high levels of independence and responsibility. Besides a great work environment, our comprehensive benefits package includes a competitive compensation plan, tuition reimbursement program, flexible working hours, six weeks paid time off, 401(k), health insurance, life insurance, short- and long-term disability insurance, bonus plan, and free coffee, drinks, and snacks. 
 
For more information on our benefit offerings please visit: https://www.kitware.com/careers/.
 
Kitware actively subscribes to a policy of equal employment opportunity. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, protected veteran status, uniformed service member status, or any other characteristics protected by applicable law. 
 
Any unsolicited resume sent to Kitware, including to Kitware's mailing addresses, fax machines or email addresses, whether directly to Kitware employees or to Kitware's applicant tracking system, will be considered Kitware property.  Kitware will not pay a fee for any placement resulting from the receipt of an unsolicited resume, and will consider any candidate submitted by a recruitment agency without a fully executed contract with Kitware to have been referred free of any charges or fees.
 
If you need assistance with applying or interviewing for a role due to a disability or special need, please reach out directly to our HR team at [email protected] at any time during the hiring process.  
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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