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Google Cafeteria Jobs in Virginia (NOW HIRING)

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure ... Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately) * Additional 401k Profit ...

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure ... Cafeteria Style Benefits * 10% - 401k Matching (Vested Immediately) * Additional 401k Profit ...

Showing results 21-24

Google Cafeteria information

What is a Google cafeteria worker?

Google Cafeteria workers are employees responsible for preparing, cooking, and serving food to Google staff at the company's offices. They may include chefs, line cooks, servers, baristas, and cleaning staff who help maintain the dining areas. These workers play a key role in providing healthy, diverse, and high-quality meals as part of Google’s efforts to create a supportive and productive work environment. Their work helps ensure that employees have access to nutritious food throughout the workday.

What is it like to work as a team member in the Google cafeteria, and how does collaboration typically function in this environment?

As a team member in the Google Cafeteria, you'll find a fast-paced, collaborative work environment where communication and teamwork are essential. Staff members regularly coordinate with chefs, nutritionists, and service teams to ensure meals meet dietary standards and are delivered efficiently. The role involves rotating responsibilities, such as food prep, serving, and maintaining cleanliness, which helps build a strong sense of camaraderie. Open feedback and cross-training are encouraged, offering opportunities to learn new skills and advance within the food services team.

What are the key skills and qualifications needed to thrive as a cafeteria worker at Google, and why are they important?

To thrive as a Cafeteria Worker at Google, you need experience in food preparation, safe food handling, and a basic understanding of nutrition, often supported by a food handler’s certification. Familiarity with large-scale kitchen equipment, point-of-sale (POS) systems, and inventory management tools is typically required. Excellent teamwork, customer service, and time management skills help create a positive dining experience and efficient service. These skills and qualities are important for ensuring safe, high-quality meals and smooth operations in a fast-paced corporate dining environment.

What is the difference between Google Cafeteria vs Google Food Service Worker?

AspectGoogle CafeteriaGoogle Food Service Worker
CredentialsMinimal, food safety training often requiredFood handler certification typically needed
Work EnvironmentOn-site in Google campus cafeteriasOn-site in Google campus food service areas
Employer & IndustryGoogle, tech industry

Google Cafeteria staff and Google Food Service Workers both operate within Google's campus food services, often sharing similar credentials like food safety training. However, the term 'Google Cafeteria' generally refers to the facility or the role of managing or overseeing the cafeteria, while 'Google Food Service Worker' emphasizes the hands-on food preparation and service. Both roles are integral to providing quality food services within Google's environment, with overlapping responsibilities and work settings.

What are popular job titles related to Google Cafeteria jobs in Virginia?

For Google Cafeteria jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Google Cafeteria jobs in Virginia look for?

The top searched job categories for Google Cafeteria jobs in Virginia are:

Infographic showing various Google Cafeteria job openings in Virginia as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 96% In-person, and 4% Remote job distribution.

Machine Learning Engineer

Cymertek Corporation

Reston, VA • On-site

$110 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Machine Learning Engineer LOCATION

Reston, VA 20190

CLEARANCE

TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)

KEY SUMMARY

We are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real-world value. If you are passionate about artificial intelligence, data-driven solutions, and continuously learning in an evolving field, we’d love for you to be part of our team.

*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***

SIMILAR CAREER TITLES

Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect.

DEGREE (Level Desired)

Bachelor's Degree

DEGREE (Focus)

Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

ALTERNATE EXPERIENCE

General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.

POSITION 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
REQUIRED SKILLS
  • 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)
DESIRED SKILLS
  • 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
PLUG IN to CYMERTEK - And design your future... YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. We’re committed to creating an environment where you’ll thrive professionally and personally. We provide meaningful, challenging work using cutting–edge technologies while investing in your growth and success. With direct access to company leadership, a laid–back and inclusive atmosphere, and exceptional work–life balance, you’ll feel valued every day.

We also believe in taking care of our family – both yours and ours. Our benefits are phenomenal, family–friendly, and designed with your well–being in mind. From employee and family events to career–long support, we create a community you’ll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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