About this opportunity
Cymertek Corporation lists this Machine Learning Engineer opportunity in reston, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
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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Worksite address
reston, VA, 22090, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.