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Remote Machine Learning Jobs in Chesapeake, VA (NOW HIRING)

SAIC

Senior Software Engineer

Hampton, VA · Remote

$80K - $120K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Software Developer Configuration Manager/ Full Stack Developer to join our team of the Air Operations Center Weapons ...

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All JobsMachine Learning JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Chesapeake, VA

Remote Machine Learning information

See Chesapeake, VA salary details

$24.8K

$41.4K

$85.5K

How much do remote machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote machine learning in Chesapeake, VA is $41,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for data science and AI roles. These positions typically require strong programming skills, experience with tools like Python and TensorFlow, and the ability to collaborate virtually using communication platforms. Remote work in this field is common, especially for roles focused on model development, data analysis, and deployment.
More about Remote Machine Learning jobs
What are popular job titles related to Remote Machine Learning jobs in Chesapeake, VA? For Remote Machine Learning jobs in Chesapeake, VA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Chesapeake, VA look for? The top searched job categories for Remote Machine Learning jobs in Chesapeake, VA are:
What cities near Chesapeake, VA are hiring for Remote Machine Learning jobs? Cities near Chesapeake, VA with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Chesapeake, VA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $41,357 per year, or $19.9 per hour.

Senior Software Engineer, Core Experiences - Virginia Beach, VA, USA

Speechify

Virginia Beach, VA • On-site, Remote

$116K - $153K/yr

Other

Re-posted 19 days ago

Job description

Mission

Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You'll Do

  • Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
  • Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
  • Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

  • Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
  • Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
  • Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
  • Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
  • Preferred Tech Stack:
    • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
    • Prior experience with GCP is a plus

What We Offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Apply