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Director Google Machine Learning Engineer Jobs in Alexandria, VA

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Machine Learning Engineer

Washington, DC · On-site +1

$130K - $200K/yr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications. This role combines ...

Machine Learning Engineer

Washington, DC · On-site

$130K - $200K/yr

About the Role We are seeking a Machine Learning Engineer to design, build, and evaluate advanced machine learning systems across AI safety and model evaluation applications. This role combines ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

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Showing results 1-20

Director Google Machine Learning Engineer information

See Alexandria, VA salary details

$38.5K

$98.4K

$150.9K

How much do director google machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for director google machine learning engineer in Alexandria, VA is $98,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $113,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Director Google Machine Learning Engineer jobs in Alexandria, VA?

For Director Google Machine Learning Engineer jobs in Alexandria, VA, the most frequently searched job titles are:

What job categories do people searching Director Google Machine Learning Engineer jobs in Alexandria, VA look for?

The top searched job categories for Director Google Machine Learning Engineer jobs in Alexandria, VA are:

What cities near Alexandria, VA are hiring for Director Google Machine Learning Engineer jobs?

Cities near Alexandria, VA with the most Director Google Machine Learning Engineer job openings:

Infographic showing various Director Google Machine Learning Engineer job openings in Alexandria, VA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $98,396 per year, or $47.3 per hour.

Machine Learning Engineer

Cymertek Corporation

Annapolis Junction, MD • On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team. The role involves designing, developing, and deploying machine learning models to solve complex problems and improve decision-making processes.
Responsibilities:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
Qualifications:
Required:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
• Proficiency in programming languages (e.g., Python, R, Java)
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in model evaluation techniques and metrics
• Strong knowledge of version control tools (e.g., Git)
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Understanding of database technologies (e.g., SQL, NoSQL)
• Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, etc.
Preferred:
• Experience with natural language processing (NLP)
• Knowledge of deep learning techniques (e.g., CNNs, RNNs)
• Familiarity with deployment tools (e.g., Docker, Kubernetes)
• Experience with data augmentation and synthetic data generation
• Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
• Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.