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Remote Machine Learning Neuroscience Jobs (NOW HIRING)

Zencastr

Senior Machine Learning Engineer (Remote)

$107K - $146K/yr

They are seeking a Senior Machine Learning Engineer to design and develop machine learning ... The easiest way to record your remote podcast interviews in studio quality Founded in 2014, the ...

TEKsystems

Machine Learning Engineer

Chicago, IL · On-site +1

$95 - $105/hr

... to remote, hybrid, or onsite candidates. Hiring Process - Target start dates are still being ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

Canals

Machine Learning Engineer

Denver, CO · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Canals

Machine Learning Engineer

New York, NY · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Dreams 2 Reality Recruitment

Machine Learning Engineer

CA · Remote

$80 - $100/hr

Remote Hours: 20 hours per week Compensation: $80-$100/hour About the Role We are seeking a Machine Learning Engineer with strong experience in CUDA and GPU performance optimization to support an ...

New

Canals

Machine Learning Engineer

San Francisco, CA · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

SmarterDx

Staff Software Engineer, Machine Learning

$250K/yr

This role is fully remote within the US** What You'll Do * Build and scale machine-learning driven features across multiple products * Design reusable architecture that powers and accelerates machine ...

3M HEALTHCARE

Machine Learning Scientist

Boulder, CO · On-site +1

The Role We are seeking a Senior Machine Learning Scientist, Climate and Hydrology to lead the ... Work with large-scale climate, weather, hydrology, and remote sensing datasets to support model ...

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

This is a fully remote position, allowing you to work from home or location of record within the U ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Paylocity

Staff Machine Learning Engineer

This is a fully remote position, allowing you to work from home or location of record within the U ... Our machine learning engineering team is responsible for developing infrastructure and tooling to ...

3M HEALTHCARE

Machine Learning Scientist

Boulder, CO · On-site +1

The Role We are seeking a Senior Machine Learning Scientist, Climate and Hydrology to lead the ... Work with large-scale climate, weather, hydrology, and remote sensing datasets to support model ...

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Remote Machine Learning Neuroscience information

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$25.5K

$42.6K

$88K

How much do remote machine learning neuroscience jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote machine learning neuroscience 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.
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Remote Machine Learning Neuroscience jobs near you
Infographic showing various Remote Machine Learning Neuroscience job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Engineer - Model Evaluation & Experimentation

Weekday AI

Remote

$60 - $90/hr

Part-time

Posted 23 days ago

Job description

This role is for one of our clients
Compensation: $60-$90 per hour
Join a pioneering AI initiative focused on building the next generation of evaluation benchmarks for frontier AI models. We are seeking experienced Machine Learning Engineers and Researchers to bring hands-on expertise in model development, experimentation, and evaluation to create rigorous benchmark tasks for advanced AI systems.
In this role, you will design sophisticated, multi-step machine learning challenges inspired by real-world research workflows. From implementing experimental ideas and running training pipelines to analyzing model behavior and validating results, you will help establish high-quality evaluation benchmarks that reveal the strengths and limitations of frontier AI models.
This is a fully remote, full-time engagement requiring approximately 35 hours per week.
Requirements
Key Responsibilities
  • Design realistic machine learning benchmark tasks based on research workflows, including model implementation, experimentation, training, evaluation, and performance analysis.
  • Translate open-ended research concepts into structured, reproducible evaluation tasks with clearly defined success criteria.
  • Implement machine learning solutions using Python, execute experiments, and produce reference implementations that demonstrate correct methodology and expected outcomes.
  • Develop benchmark tasks involving reinforcement learning concepts such as reward functions, policy optimization, training dynamics, and model behavior where applicable.
  • Evaluate AI-generated solutions by identifying implementation errors, experimental flaws, incorrect reasoning, and unsupported conclusions.
  • Collaborate with AI researchers and fellow subject matter experts to continuously improve benchmark quality, technical rigor, and evaluation consistency.
Required Qualifications
  • Master's degree, PhD, or equivalent practical experience in Machine Learning, Computer Science, Artificial Intelligence, Data Science, or another quantitative STEM discipline.
  • Minimum 1 year of professional experience in machine learning research, research engineering, applied AI, or another research-intensive technical role.
  • Strong hands-on experience designing, training, evaluating, and optimizing machine learning models through complete experimental workflows.
  • Practical experience conducting machine learning experiments, including experiment setup, hyperparameter tuning, execution, validation, and analysis.
  • Strong understanding of modern Large Language Models (LLMs), their capabilities, limitations, and evaluation methodologies.
  • Proficiency in Python and Git, with experience working in both script-based and notebook-based development environments.
  • Familiarity with reinforcement learning concepts-including reward functions, policy optimization, and training behavior-is preferred.
  • Experience with AI evaluation, benchmark development, AI training, or task authoring is highly desirable.
  • Excellent analytical thinking, creativity, attention to detail, and the ability to solve complex, open-ended technical problems independently.
  • Strong written communication skills for documenting experimental methodologies and technical findings.
  • Ability to commit approximately 35 hours per week on a consistent basis.
Preferred Qualifications
  • Experience developing or evaluating large language models, foundation models, or generative AI systems.
  • Background in reinforcement learning, deep learning, distributed training, or model optimization.
  • Familiarity with benchmark design, AI safety evaluations, or research-quality experimentation.
  • Experience contributing to research publications, open-source machine learning projects, or advanced AI systems.
Why Join
  • Help shape how next-generation AI systems are evaluated through rigorous machine learning experimentation.
  • Collaborate with leading AI researchers developing frontier evaluation benchmarks.
  • Apply your expertise to improve AI reasoning, model quality, and experimental reliability.
  • Contribute directly to benchmark development that advances the capabilities of state-of-the-art AI systems.
  • Enjoy the flexibility of a fully remote engagement while working on impactful AI research initiatives.
Equal Opportunity
We are committed to fostering an inclusive and diverse environment where all qualified applicants receive equal consideration. Reasonable accommodations are available throughout the application and engagement process.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Expected commitment of approximately 35 hours per week.
  • Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
  • Work does not require access to confidential or proprietary information from any current or former employer.
  • Payments are issued weekly based on approved work completed.
  • At this time, we are unable to support H1-B or STEM OPT candidates.

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