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Remote Machine Learning Postdoc Jobs in Virginia

Axiom Path

Senior Data Engineer #3624301

Richmond, VA · Remote

$114K - $227K/yr

... remote applicants residing in Eastern Standard Time states. The role offers the chance to work on modern data architecture, Lakehouse engineering, machine learning enablement, and production-grade ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Ardent Eagle Solutions

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

Collaborate closely with Data Scientists to optimize infrastructure supporting machine learning ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

GRVTY

Imagery Scientist (EO) - Senior

Falls Church, VA · Remote

$97K - $133K/yr

... Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ... Remote sensing phenomenology * Image formation processes * Exploitation products and methodologies

Team Velocity

Senior Data Engineer

Herndon, VA · Remote

$150K - $195K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

Team Velocity

Senior Data Engineer

Herndon, VA · On-site +1

$150K - $195K/yr

Familiarity with machine learning data pipelines and feature engineering concepts. * Experience working in a remote-first environment. COMPENSATION Compensation commensurate on experience.

GRVTY

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows -- including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Genworth Financial

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

Gnw

Senior ML/AI Engineer

Richmond, VA · On-site +1

$103K - $142K/yr

... or remote applicants residing in states/locations under Eastern Standard Time: Connecticut ... Build, train, evaluate, and deploy machine learning models for prediction, classification, NLP ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $220K/yr

We are seeking a Senior Data Scientist to develop machine learning models, predictive analytics ... Local and remote candidates (living within Eastern or Central Time Zone) will be considered. No ...

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All JobsMachine Learning Postdoc JobsRemote Machine Learning Postdoc JobsRemote Machine Learning Postdoc Jobs in Virginia

Remote Machine Learning Postdoc information

Is ML a high paying job?

Machine learning postdoctoral positions are generally well-paid compared to many academic roles, with salaries often ranging from $60,000 to over $100,000 annually depending on experience, location, and funding. These roles typically require strong programming skills in Python or R and knowledge of algorithms and data analysis, which can contribute to higher compensation levels.

Is a PhD in ML worth it?

A PhD in machine learning can enhance qualifications for a remote machine learning postdoc position, often leading to higher-level research opportunities and increased earning potential. However, it requires significant time investment and may not be necessary for industry roles that value practical skills and experience with tools like Python and TensorFlow. The decision depends on career goals and the specific requirements of the desired position.

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

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

Is a postdoc harder than a PhD?

A remote machine learning postdoc typically involves more specialized research, higher expectations for independence, and often requires advanced skills in programming and data analysis. While a PhD focuses on completing a dissertation and gaining foundational expertise, a postdoc emphasizes producing publishable research and may involve longer hours and greater responsibility, making it generally more demanding in terms of research output and expertise. However, the difficulty varies based on individual experience and research environment.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

Do you need H-1B for postdoc?

A remote machine learning postdoctoral position typically does not require H-1B sponsorship if the candidate is already authorized to work in the country, such as through a visa or citizenship. However, international candidates may need H-1B or other work visas depending on the employer and local immigration laws. Employers often sponsor visas for postdocs to comply with legal requirements and facilitate employment.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are the most commonly searched types of Machine Learning Postdoc jobs in Virginia? The most popular types of Machine Learning Postdoc jobs in Virginia are:
What are popular job titles related to Remote Machine Learning Postdoc jobs in Virginia? For Remote Machine Learning Postdoc jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Virginia look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Virginia are:
What cities in Virginia are hiring for Remote Machine Learning Postdoc jobs? Cities in Virginia with the most Remote Machine Learning Postdoc job openings:
Remote Machine Learning Postdoc jobs near you
Senior Data Engineer #3624301

Senior Data Engineer #3624301

Axiom Path

Richmond, VA • Remote

$114K - $227K/yr

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

Be Part Of A High-Performing Team:

Join a mission-driven technology organization focused on improving the aging and long-term care experience through modern data, analytics, machine learning, and digital product innovation. This team is building scalable solutions that help individuals, families, and caregivers navigate a historically fragmented care ecosystem with greater clarity, dignity, and support. The environment is collaborative, purpose-driven, and highly cross-functional, bringing together data engineers, analysts, data scientists, ML/AI engineers, and product teams to create reliable data foundations that power meaningful business and customer outcomes.

What's In Store For You:

This is a full-time opportunity available to remote applicants residing in Eastern Standard Time states. The role offers the chance to work on modern data architecture, Lakehouse engineering, machine learning enablement, and production-grade analytics infrastructure. The organization provides a strong employee support model, including healthcare coverage, retirement programs, paid time off, paid family leave, tuition reimbursement, student loan repayment, training and certification support, wellness resources, caregiver support, and mental health services.

How You Will Make An Impact

  • Design, build, and maintain scalable ETL/ELT pipelines that support analytics, machine learning, and operational data needs.
  • Develop reliable ingestion frameworks for batch and streaming data sources using Python, SQL, Spark, and Databricks.
  • Build and maintain data models across raw, curated, semantic, and domain-specific layers using Delta Lake.
  • Create dimensional models, star schemas, and curated datasets that enable business KPI tracking, reporting, and ML use cases.
  • Improve pipeline quality through automated testing, data validation, anomaly detection, documentation, monitoring, and alerting.
  • Partner with analysts, data scientists, ML engineers, product teams, and platform engineers to deliver reusable, high-quality data assets.
  • Optimize Spark jobs, SQL queries, cluster configurations, and storage patterns for performance, reliability, and cost efficiency.
  • Apply strong data governance, RBAC, privacy, PII handling, and Unity Catalog best practices across the data ecosystem.
  • Help raise engineering standards by reducing technical debt, improving repeatability, and mentoring others on modern data engineering practices.

Do you bring proven success in modern data engineering and Lakehouse architecture?

  • 7+ years of experience in data engineering, analytics engineering, or related data-focused engineering roles.
  • Strong hands-on experience with Python, SQL, Spark, and distributed data processing.
  • Production experience with Databricks, Delta Lake, and Lakehouse architecture.
  • Deep understanding of ETL/ELT design, data modeling, data quality, and scalable pipeline development.
  • Experience building production-grade data pipelines with reliability, monitoring, SLAs, and operational support in mind.
  • Ability to design curated datasets, dimensional models, semantic layers, and analytics-ready data products.
  • Experience supporting analytics, machine learning, data science, and product stakeholders.
  • Strong communication skills with the ability to clarify business/data requirements and explain technical decisions clearly.
  • Comfort working in a collaborative, fast-moving, purpose-driven environment.
  • Must reside in an eligible Eastern Standard Time state.
  • This role is not eligible for employment visa sponsorship