Machine Learning Jobs in Washington DC

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Looking for Machine Learning jobs in Washington DC? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the Washington DC area.

Customer Service Associate

Company: Walgreens

Location: Washington, DC

Posted Jan 23, 2025

The text describes a job role that involves delivering a distinctive and delightful customer experience. The responsibilities include engaging customers, resolving issues, and providing efficient checkout service. The role also involves maintaining store cleanliness, implementing asset protection procedures, and ensuring compliance with regulated product laws. The job requires fluency in English and a flexible schedule, including evenings and weekends. Preferred qualifications include prior retail experience and familiarity with Walgreens.

Regional Sales Manager, Federal

Company: Palo Alto Networks

Location: Washington, DC

Posted Jan 23, 2025

Palo Alto Networks is seeking a Regional Sales Manager (Federal and/or Civilian) to drive company revenue and growth. The role involves leading and driving sales engagements, crafting strategic territory plans, and displacing competing technologies. The ideal candidate should have experience with FSI customers, SaaS-based architectures, and channel partners. They should possess excellent time management skills, be highly competitive, and have a successful track record in selling complex solutions. The company offers unmatched systems, tools, and a supportive team environment, with a commitment to diversity and equal opportunity.

PostgreSQL DBA

Company: Deloitte

Location: Washington, DC

Posted Jan 23, 2025

Deloitte's Core Business Operations (CBO) is seeking a skilled Database Administrator to join their team. The successful candidate will work closely with development scrum teams to deliver data insights and business intelligence products, driving key business and operational decisions. The role involves implementing, performance tuning, and supporting multiple types of databases, with a focus on PostgreSQL. Responsibilities include general troubleshooting, database maintenance, risk identification, schema management, and effective communication with all levels of management. The ideal candidate should have a Bachelor's degree, 5 years of experience in database implementation, performance tuning, and support, and 5 years of experience with PostgreSQL. An active Top Secret security clearance is required, and the role necessitates onsite work in Washington DC, 4 days a week. The wage range for this role is estimated to be between $109,000 and $181,000.

Jr. Accountant

Company: Addison Group

Location: Washington, DC

Posted Jan 23, 2025

Multi-Site Maintenance Technician

Company: Bozzuto

Location: Washington, DC

Posted Jan 23, 2025

Bozzuto is a company that values community, care, and excellence. They are seeking a Maintenance Technician who can provide exceptional service, resolve maintenance issues, and maintain a welcoming environment. The role involves HVAC, electrical, plumbing, and appliance repair, as well as turn-over repairs, general upkeep, and snow removal. Bozzuto offers competitive compensation, health benefits, paid leave, retirement planning, and tuition reimbursement. They emphasize a supportive work environment that fosters professional growth and diversity.

Patient Care Technician

Company: DaVita

Location: Washington, DC

Posted Jan 23, 2025

DaVita is recruiting a Patient Care Technician for an outpatient dialysis center. The role involves direct patient care, technician duties, and building relationships with patients. No dialysis experience is required, and DaVita offers comprehensive benefits, training, and career advancement opportunities. The position requires flexibility, comfort with blood and needles, and physical stamina for long hours.

Software Engineer (Technical Leadership) - Machine Learning

Company: Meta

Location: Washington, DC

Posted Jan 23, 2025

Meta is recruiting for a Machine Learning Engineer position, seeking candidates with industry experience in various classification and optimization problems. The role involves applying these skills to large-scale social data and prediction problems. Key responsibilities include driving team goals, communicating complex features, understanding industry trends, collaborating with leaders, identifying new opportunities, and developing scalable classifiers. The ideal candidate should have a Computer Science or related technical degree, extensive programming experience, and a proven track record in planning multi-year roadmaps. Meta offers competitive compensation and benefits, and is committed to equal employment opportunities.

Production Specialist

Company: EF Education First

Location: Washington, DC

Posted Jan 23, 2025

Data Engineer, Product Analytics

Company: Meta

Location: Washington, DC

Posted Jan 23, 2025

Frequently Asked Questions

What are typical salary ranges by seniority for machine learning roles?
Entry‑level ML Engineer: $90k–$120k; Mid‑level ML Engineer or Data Scientist: $120k–$160k; Senior ML Engineer or Research Scientist: $160k–$220k; Lead ML Engineer or Principal Research Scientist: $200k–$280k; AI Product Manager: $130k–$180k depending on experience and market.
What skills and certifications are most valuable in machine learning today?
Core language: Python; Deep learning frameworks: TensorFlow, PyTorch; Scikit‑learn for classical models; SQL and NoSQL databases for data ingestion; Docker and Kubernetes for deployment; Cloud AI services such as AWS SageMaker, GCP Vertex AI, Azure ML. Certifications: TensorFlow Developer Certificate, AWS Certified Machine Learning – Specialty, GCP Professional Machine Learning Engineer.
How common is remote work for machine learning positions?
Over 70% of ML roles allow full remote or hybrid arrangements. Startups and fintech firms tend to offer 100% remote options, while larger enterprises often provide hybrid models with occasional on‑site data‑center visits. Remote work is especially prevalent for roles focused on model training and research.
What career progression paths exist in machine learning?
Typical paths: ML Engineer → Senior ML Engineer → Lead ML Engineer → ML Manager; Data Scientist → Senior Data Scientist → Lead Data Scientist → Head of Data; Research Scientist → Senior Research Scientist → Principal Scientist → Chief Data Scientist; ML Ops Engineer → Senior ML Ops Engineer → Lead ML Ops Engineer → Director of MLOps. Progression often involves moving from coding to architecture, then to leadership and strategy.
What are the current industry trends shaping machine learning hiring?
Key trends: reinforcement learning for autonomous systems; federated learning for privacy‑preserving models; edge AI for IoT devices; AutoML platforms speeding model deployment; MLOps practices for scalable pipelines; explainable AI and ethics compliance; and increased demand for AI governance roles.

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