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Sewing machine operator Jobs in Washington, DC
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Sewing machine operator • washington dc
- Promoted
Machine Learning Engineer
Pantera CapitalWashington, DC, United States- Promoted
Machine Learning Engineer
TheIncLabMcLean, VA, US- Promoted
Operator
PURIS Corporation, LLCHyattsville, MD, USMachine Operator Production - PepsiCo - Rotating Shifts
PepsiCoCheverly, MDMachine Sewing Lead Camp Counselor
DEAN Adventure CampsMcLean, Maryland, USA- Promoted
Machine Learning Engineer
VirtualVocationsAlexandria, Virginia, United States- Promoted
Machine Tool Trainee
TradeJobsWorkforce22214 Arlington, VA, US- Promoted
Machine Learning Engineer
Phase2 TechnologyWashington, DC, United States- Promoted
Machine Operator Saw Operator
AHU Technologies IncWashington, DC, US- New!
Machine Operator Weekends
Beacon Engineered SolutionsAlexandria, Virginia, USAFirst-Shift CNC Machine Operator Great Benefits
ARCH Cutting ToolsWashington, DC, US- Promoted
Machine Learning Engineer
Actif.aiWashington, DC, USMachine Operator
BeldenWashington, DC, US- Promoted
Machine Learning Engineer
AI SquaredWashington, DC, US- Promoted
Operator
Flatiron DragadosAlexandria, VA, US- Promoted
Research Engineer, Machine Learning
SlopeWashington, DC, United States- Promoted
Machine Learning Engineer
Red CircleWashington, DC, US- 911 operator (from $ 82,359 to $ 461,180 year)
- hospitalist (from $ 100,000 to $ 257,063 year)
- owner operator (from $ 58,500 to $ 250,000 year)
- associate dentist (from $ 120,000 to $ 250,000 year)
- director of customer service (from $ 42,324 to $ 250,000 year)
- visa sponsorship (from $ 85,280 to $ 250,000 year)
- sound engineer (from $ 103,200 to $ 245,000 year)
- pediatrician (from $ 75,000 to $ 244,558 year)
- medical editor (from $ 64,625 to $ 238,968 year)
- customer service director (from $ 59,174 to $ 236,550 year)
The average salary range is between $ 24,376 and $ 36,287 year , with the average salary hovering around $ 29,250 year .
Popular searches
Machine Learning Engineer
Pantera CapitalWashington, DC, United States- Full-time
What you can expect
Join our Workforce Engagement Management (WEM) team to solve real-world challenges at scale using cutting-edge AI / ML techniques. We’re looking for a passionate and experienced AI / ML professional. You will play a key role in building GenAI-powered forecasting, scheduling, and adherence solutions. Drive the development of intelligent WEM systems by integrating LLMs, time‑series models, and optimization engines to revolutionize how workforce operations are managed. Join a dynamic team dedicated to achieving groundbreaking results.
About the Team
Work on impactful AI projects involving GenAI, LLMs, time‑series forecasting, and scheduling optimization. Design and deploy LLM‑based applications to drive insights in forecasting and scheduling. Collaborate with cross‑functional teams (product, ops, and engineering) to deliver seamless AI integrations. Fine‑tune, prompt‑engineer, and orchestrate LLM pipelines to solve real‑world forecasting and adherence challenges. Develop smart forecasting and scheduling engines that can adapt and learn from operational data.
What we’re looking for
- Bachelor’s / Master’s / PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field.
- 4–6 years of hands‑on experience in AI / ML engineering roles.
- Programming skills in Python, with knowledge of software engineering best practices including data manipulation libraries like Pandas and NumPy for preprocessing and feature engineering.
- Experience with ML frameworks such as Scikit‑learn, TensorFlow, or PyTorch.
- Solid understanding of time‑series preprocessing, feature engineering, and forecasting algorithms (Prophet, SARIMAX, LSTM, Exponential Smoothing, etc.). Experience with optimization tools like CP‑SAT or Google OR‑Tools. Background in NLP and transformer‑based models.
- Experience with LLMs, fine‑tuning, prompt engineering, context engineering, MCP and Agentic AI frameworks (e.g., LangChain, CrewAI, etc).
- Experience with Git, CI / CD, and scalable deployment practices.
- Experience with workforce management software.
- Experience with MLOps tools like SageMaker or MLflow is a good to have / added advantage.
Responsibilities
Ways of Working
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In‑Person, is indicated in the job description / posting.
Benefits
As part of our award‑winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work‑life balance; and contribute to their community in meaningful ways. Click Learn for more information.
About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem‑solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth‑focused environment.
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non‑accommodation‑related requests, such as application follow‑ups or technical issues, will not be addressed.
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