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Remote Deep Learning Jobs in Springfield, VA (NOW HIRING)

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

You dive deep. It's important for you to really know how things work. You're always building ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

DeepSig Inc

O-RAN DU Test Engineer

Arlington, VA · On-site +1

Description Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the right candidate) DeepSig is defining the future of wireless communications by merging deep learning with ...

Meazure Learning

Sr. DevOps Engineer

Mclean, VA · Remote

$133.10K - $170.90K/yr

At Meazure Learning , we aim to empower open-minded, inquisitive, and driven people, and we love ... Deep knowledge of cloud infrastructure (AWS, Azure, or GCP) * Hands-on experience with writing ...

Meazure Learning

Sr. DevOps Engineer

Mclean, VA · Remote

$133.10K - $170.90K/yr

At Meazure Learning , we aim to empower open-minded, inquisitive, and driven people, and we love ... Deep knowledge of cloud infrastructure (AWS, Azure, or GCP) * Hands-on experience with writing ...

EnthuZiastic

Growth Hacker - Remote

Annandale, VA · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Adelphi, MD · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

EnthuZiastic

Growth Hacker - Remote

Rockville, MD · Remote

Proven experience in digital marketing, with a deep understanding of various marketing channels and ... Continuous Learning: * A commitment to ongoing learning and professional development in growth ...

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Remote Deep Learning information

See Springfield, VA salary details

$11.5K

$87.6K

$146.2K

How much do remote deep learning jobs pay per year?

As of May 30, 2026, the average yearly pay for remote deep learning in Springfield, VA is $87,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $145,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Deep Learning Engineer, and why are they important?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

What are some common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is a Remote Deep Learning job?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What job categories do people searching Remote Deep Learning jobs in Springfield, VA look for? The top searched job categories for Remote Deep Learning jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Remote Deep Learning jobs? Cities near Springfield, VA with the most Remote Deep Learning job openings:
Remote Deep Learning jobs near you
Solutions Engineer - West Coast or Mountain

Solutions Engineer - West Coast or Mountain

Cloudera

Washington, DC • Remote

$150K - $180K/yr

Full-time

PTO

Posted 12 days ago

Job description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

Job Description:

At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises.

Solutions Engineer (IC4)

Cloudera is seeking a Solutions Engineer to come join our team.. You will utilize your strong technical, business competencies and customer service skills to provide the highest level of business and technical consultation to sales teams, prospects and customers to support sales goals.

As a Solutions Engineer you will:

  • Provide advice in customer use cases discovery and requirements workshops

  • Deep understanding of AI concepts and best practices

  • Ability to troubleshoot data science workloads

  • Actively participate within the Cloudera community

  • Create and deliver customer-centric solution designs

  • Present roadmap, vision, proposed architectures and business outcomes to technical teams

  • Responsible for defining technical selling approach for accounts

  • Regularly participate in account penetration / success strategy planning, working with sales counterparts and solutions engineering management

  • Understand the core differentiators across the competitive landscape

  • Understand the technology ecosystem

  • Transform customer feedback into actionable product roadmap items

  • A share of evangelism activities (blogs, meetups, industry events)

  • Mentor associates, participate in creation and maintenance of enablement materials across the team

  • Participate in contribution to internal and external knowledge repositories

We're excited about you if you have:

  • Bachelor's Degree in a Technical Field

  • 3-5 + years of professional work experience in a similar position

  • Enterprise Software and Big Data experience

  • AI and/or Data Science use-case development

  • Demonstrated understanding of the challenges in operations, Security and Data Governance within the enterprise

  • Solution Architecture/Engineering experience as a field of practice (able to listen to customer requirements, whiteboard and propose solution architecture, and get hands-on with the tech to design, build, and demonstrate real business value)

  • You are on good terms with Infrastructure (Hardware, Storage, Network), Java/.NET, and SQL . You have an interest in Data Science and understand the difference between Data Engineering and Applied Science

  • You have strong Linux skills

  • Demonstrated Strong Written and verbal Communication skills

  • Demonstrated problem solving and analytical skills

You may also have:

  • Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc ), can talk to the benefits of a centralized architecture for both data management and data access

  • Streaming experience (Nifi, Kafka, Flink, Spark, etc.)

  • NoSQL experience (HBase, Cassandra, MongoDB, etc.)

  • EDW experience - Teradata, Netezza, GreenPlum, Exadata

  • Data Science and ML experience - (R, Python, Deep Learning Frameworks etc.)

  • Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, IBM, Oracle, etc.)

  • You thrive in a changing environment

  • Four year degree (Bachelor's) from accredited university required

  • Ability to travel domestically and internationally

This role is not eligible for immigration sponsorship.

The anticipated annual base salary range for this position is:

California: $150,000 - $180,000

Colorado: $150,000 - $180,000

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.

What you can expect from us:

  • Generous PTO Policy

  • Support work life balance with Unplugged Days

  • Flexible WFH Policy

  • Mental & Physical Wellness programs

  • Phone and Internet Reimbursement program

  • Access to Continued Career Development

  • Comprehensive Benefits and Competitive Packages

  • Paid Volunteer Time

  • Employee Resource Groups

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