ZipRecruiter

Log In

2

Remote Google Machine Learning Engineer Jobs in Virginia

Steampunk

Machine Learning Engineer

Mclean, VA · On-site +1

$115K - $150K/yr

We are looking for a more than just a "Machine Learning Engineer", but a technologist with ... Knowledge of cloud platforms such as AWS, Google Cloud, or Azure. * Experience with version control ...

NT Concepts

Machine Learning Engineer

Vienna, VA · On-site +1

Machine Learning Engineer Chantilly, VA We are seeking a Machine Learning Engineer to join our team ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: * Collaborate with a cross ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

NT Concepts

Machine Learning Engineer

Herndon, VA · On-site +1

Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems ...

Capital One

Senior Machine Learning Engineer

Richmond, VA · On-site +1

$103.40K - $142K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Senior Machine Learning Engineer

Mclean, VA · On-site +1

$105.60K - $145.10K/yr

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Richmond, VA · On-site +1

$101.40K - $133.60K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.90K - $136.80K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103.60K - $136.50K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

next page

Showing results 1-20

People also search for

All JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Virginia

Remote Google Machine Learning Engineer information

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Virginia? The most popular types of Google Machine Learning Engineer jobs in Virginia are:
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Virginia? For Remote Google Machine Learning Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Google Machine Learning Engineer jobs in Virginia look for? The top searched job categories for Remote Google Machine Learning Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Google Machine Learning Engineer jobs? Cities in Virginia with the most Remote Google Machine Learning Engineer job openings:
Remote Google Machine Learning Engineer jobs near you

Machine Learning Engineer

Steampunk

Mclean, VA • On-site, Remote

$115K - $150K/yr

Other

Posted 21 days ago

Job description

Overview
We are looking for seasoned Machine Learning Engineer to work with our existing team of Data Scientists and Engineers to use AI/ML technology in supporting Federal use cases. We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
  • Collaborate with cross-functional teams to design and develop machine learning models and algorithms to address business needs.
  • Analyze and process large datasets to extract meaningful insights and patterns.
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems and workflows.
  • Optimize and fine-tune machine learning models for performance, scalability, and accuracy.
  • Implement and maintain data pipelines to support machine learning workflows.
  • Evaluate the effectiveness of machine learning models using appropriate metrics and validation techniques.
  • Document processes, experiments, and results to ensure reproducibility and knowledge sharing.
  • Deploy machine learning models to production environments and monitor their performance.
  • Stay updated with the latest research and trends in AI to implement cutting-edge solutions.
  • Support an Agile software development lifecycle
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the US government.
  • Bachelor's degree in computer science, data science/statistics, information systems, engineering, business, or a scientific or technical discipline
  • 2-4 years industry experience developing ML/AI solutions and a passion for solving complex problems.
  • 2-4 years industry experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
  • Strong programming skills in languages such as Python, R, or Java.
  • Solid understanding of statistical methods, data structures, and algorithms.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Familiarity with big data technologies like Hadoop, Spark, or similar.
  • Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience with version control systems, such as Git, and continuous integration/continuous deployment (CI/CD) practices.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively in a team environment.
  • Ability to manage multiple tasks and projects simultaneously while meeting deadlines.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $115,000 to $150,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee-owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.

Apply