1

Fall Machine Learning Co Op Jobs in Virginia (NOW HIRING)

Machine Learning Engineer

Mclean, VA · On-site

$105K - $115K/yr

As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ... fall outside of the range shown above. In addition, this position may be eligible for a ...

Co-Op, Finance

Norfolk, VA · On-site

$20/hr

This Co-Op provides the opportunity to get involved, collaborate with finance professionals ... learning more about the shipping and logistics industry. This is an excellent opportunity for a ...

Showing results 41-60

Fall Machine Learning Co Op information

What is a Fall Machine Learning Co Op job?

A Fall Machine Learning Co-Op is a temporary, typically full-time position for students or recent graduates to gain hands-on experience in applying machine learning techniques. These roles usually involve working with data, training models, and optimizing algorithms under the supervision of experienced engineers or researchers. They are offered during the fall semester and can last several months. Companies use these positions to provide practical learning opportunities and assess potential future hires.

What can I expect from the day-to-day experience of a Fall Machine Learning Co Op?

As a Fall Machine Learning Co Op, you'll typically work with a team of data scientists and engineers on real projects that may involve data cleaning, model development, testing, and reporting insights. Your days might include collaborating in meetings, coding, analyzing data, and presenting findings to team members or supervisors. You'll receive mentorship from experienced professionals and have opportunities to participate in code reviews and brainstorming sessions. This structure helps you build technical skills, broaden your professional network, and gain a comprehensive understanding of how machine learning is applied in a business setting.

What are the key skills and qualifications needed to thrive in the Fall Machine Learning Co Op position, and why are they important?

To thrive as a Fall Machine Learning Co Op, you should have a solid background in programming (especially Python), statistics, and machine learning concepts, often supported by coursework or hands-on projects in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, and data analysis libraries such as pandas and scikit-learn is highly valued, while certifications in AI or data science can be a plus. Strong problem-solving skills, eagerness to learn, effective communication, and teamwork help you stand out in this role. These skills are crucial for contributing to real-world projects, collaborating with technical teams, and gaining valuable experience in a fast-paced, innovation-driven environment.

What are popular job titles related to Fall Machine Learning Co Op jobs in Virginia? For Fall Machine Learning Co Op jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Fall Machine Learning Co Op jobs in Virginia look for? The top searched job categories for Fall Machine Learning Co Op jobs in Virginia are:
What cities in Virginia are hiring for Fall Machine Learning Co Op jobs? Cities in Virginia with the most Fall Machine Learning Co Op job openings:
Infographic showing various Fall Machine Learning Co Op job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Somatus, Inc.

Mclean, VA • On-site

$105K - $115K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 16 days ago


Somatus rating

6.7

Company rating: 6.7 out of 10

Based on 15 frontline employees who took The Breakroom Quiz


Job description

How We Show Up for Our Patients:
As a leading provider of outcomes-driven care for individuals and communities living with chronic conditions, Somatus is helping patients across the country enjoy More Healthy Days at Home™.
Care at Somatus goes beyond treatment. Through a whole-person approach, we deliver outcomes-driven integrated care and show up #SomatusStrong for our patients and teammates. We partner closely with health plans, health systems, and provider groups to support patients with, or at risk of developing, cardio, kidney, metabolic, or other chronic conditions.
We hire the brightest and boldest - talent driven by purpose and impact. Since our founding in 2016, our growth trajectory isn't just a milestone - it's a signal. Our leadership values culture and leads with intention as we remain dedicated to driving clinical excellence.
Does this sound like you? Keep reading.
How We'll Support You:
We offer 25+ health, growth, and wealth work perks to help teammates be the best version of themselves, including:

  • Subsidized personal healthcare coverage: Medical, Dental & Vision, plus Wellness programs
  • Paid Time Off: Flexible PTO
  • Professional development: CEU and tuition reimbursement

How You'll Make an Impact:
Somatus is on a mission to be the world's best provider of integrated care for patients with or at risk of developing kidney disease. A core component of our mission is the effective and impactful use of data to support patient care. As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and technology teams to help clinical, operational, and financial partners solve advanced analytical problems. Our culture is data-driven, collaborative, results-focused, and fast-moving.
If you have a passion for building things and using data to impact the lives of patients, families, and communities, then we want to speak with you!
  • Partner with ML engineers, data engineers, software developers, product managers, data analysts, and clinical and operations team members to deliver machine learning solutions that make an impact.
  • Assist with end-to-end lifecycle for AI and machine learning projects, including idea generation, data and feature engineering, model training, model evaluation, model testing, model deployment, model monitoring, and maintenance.
  • Build pipelines for training, evaluating, and deploying models.
  • Perform exploratory data analysis, statistical modeling, causal inference, and other advanced analytical techniques to uncover meaningful insights.
  • Advise stakeholders on experimentation best practices and help design and implement A/B/n testing as needed.
  • Stay current with trends and developments in the AI, machine learning, and healthcare technology communities.

How You'll Strengthen Our Team:
Qualifications:
  • Bachelor's or Master's Degree with 1 or more years of experience in a machine learning-related role, or PhD
  • At least 1 year of experience with Python
  • Some experience with relational databases and SQL
  • Understanding of software engineering best practices and software development lifecycle
  • Familiarity with Git and issue tracking tools such as JIRA
  • Familiarity with Linux and CLI

Preferred Qualifications:
  • Experience in healthcare industry and working with healthcare data
  • Experience with cloud infrastructure (Azure, AWS, or GCP)
  • Experience with Docker
  • Experience with Natural Language Processing
  • Experience with effectiveness research

Compensation:
$105,000 to $115,000 per year
We offer competitive compensation that reflects market conditions and recognizes the skills, experience, and contributions of our team members. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, experience, and geographic location and may fall outside of the range shown above. In addition, this position may be eligible for a discretionary performance-based bonus in accordance with the Company's applicable incentive compensation plans.
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Our Commitment to Diversity:
At Somatus, we celebrate what makes us unique - our people. We believe that a culture intentionally built to foster and support our unique passions, experiences, and perspectives helps fuel us in the pursuit of our mission.
Somatus, Inc. provides equal employment opportunity to all individuals regardless of race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by law. Discrimination of any type will not be tolerated.

What Somatus employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom