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.

SAP Crystal Reports Specialist

Company: Addison Group

Location: Washington, DC

Posted Jan 25, 2025

CHC Program Manager

Company: Aledade

Location: Washington DC

Posted Jan 25, 2025

Aledade is recruiting two Program Managers to support the Aledade Community Health Center Center of Excellence. The roles involve developing and facilitating educational activities for Community Health Centers, managing data, and collaborating with internal and external partners. The ideal candidate should have a Bachelor's degree or equivalent experience, experience with FQHCs, and progressive value-based care experience. The role requires strong communication, organizational, and analytical skills, and the ability to work remotely with occasional travel.

HR Technology Director

Company: MassMutual

Location: Washington DC

Posted Jan 25, 2025

The Director of HR Technology will create and align a technology vision with business strategy for HR, Employee Experience, and Digital Communications. They will lead complex initiatives, manage multiple agile/waterfall squads, and ensure cost-effectiveness and transparency. The role involves delivering projects on time and within budget, collaborating with other ETX leaders, and influencing technology strategy for growth. The ideal candidate will have a masters degree in computer science, experience with cloud platform migration, and expertise in change management, technology transformation, and innovative problem-solving.

QA Engineer

Company: BLN24

Location: Washington DC

Posted Jan 25, 2025

BLN24, an award-winning Management Consulting Firm, is seeking a QA Engineer to join their team. The ideal candidate will lead the development and execution of test plans, have experience with automation testing tools, and be comfortable working with engineering and DevOps teams. BLN24 offers competitive benefits, including generous medical plans, flexibility, and opportunities for growth. The company is an Equal Opportunity Employer, valuing diversity and inclusion.

Content Policy Manager

Company: Meta

Location: Washington, DC

Posted Jan 25, 2025

Project Manager - MassMutual Strategic Distributors

Company: MassMutual

Location: Washington DC

Posted Jan 25, 2025

The MMSD Program and Delivery team is seeking a Project Manager to oversee moderate to complex business projects, readiness initiatives, and recommend strategies. The role requires accountability, agility, inclusivity, strong business acumen, and courage. The team aims to aggressively grow top-line sales by expanding partnerships and investing in technology, sales operations, marketing, and product development. The Project Manager will monitor project progress, lead cross-functional teams, ensure alignment of functional plans with project plans, and manage budget, timeline, resources, and scope. Minimum qualifications include a Bachelor's degree and 7+ years of project management experience. Preferred qualifications include a Masters degree, third-party distribution market experience, life annuity product experience, PMP certification, and the ability to operate in agile and waterfall environments.

Precision Agronomist - Indiana

Company: Advanced Agrilytics

Location: Washington DC

Posted Jan 25, 2025

Advanced Agrilytics is seeking a Precision Agronomist to join their Indiana Grower Direct team. The role involves delivering expert agronomic advice, tailored solutions, and strong sales and relationship-building skills to optimize inputs, enhance yields, and increase farm profitability. The Precision Agronomist will work closely with farmers and agronomists to understand their operations, conduct farm assessments, and provide technical and agronomic advice. They will also prospect for new business opportunities, achieve sales targets, and lead, mentor, and develop a team of agronomists and sales representatives. The company offers competitive compensation, a performance-based bonus program, and a collaborative autonomous work culture.

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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