Senior Graph ML Engineer (Hybrid in DC)

Amida Technology Solutions; Washington (District of Columbia); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

401(k) match

PTO

Parental leave

Medical insurance

Dental insurance

Vision insurance

Life/AD&D insurance

Short-term disability

Tuition assistance

Team-building opportunities

Job summary

Amida Technology Solutions, a DC-based tech company, seeks a Graph Data Scientist to advance graph algorithms for analytics and decision support. You will lead data modeling, embedding, and scalable training across client engagements and internal projects.

The role reports to the Director of Solutions and requires a hybrid schedule with three days in our Washington, DC office. Ideal candidates will have deep graph theory expertise and a track record of research leadership.

Qualifications

• Master's degree in CS/Math/Engineering with focus on graph theory and data structures.
• 5+ years of graph machine learning experience; 3+ years leading research.
• Ability to work with graph algorithms, embeddings, clustering, and dimensionality reduction.

Responsibilities

• Serve as graph data modeling expert, optimizing retrieval and performance.
• Design/implement graph algorithms for decision support and classification.
• Lead research initiatives and supervise encoding/embedding projects.
• Build large-scale graph training pipelines and write data-loading queries.
• Interface with customers and teams to align expectations and progress.

Skills

Graph data modeling

Schema design

Database optimization

Performance monitoring

4GLs programming

Graph ML libraries

PyTorch Geometric

DGL

GDS

Apache Spark (Azure Databricks)

Relationship building

Graph theory

US citizenship or GC

Education

Master's degree in computer science, mathematics, or engineering with a strong focus on graph theory, algorithms, and data structures

Tools

Neo4j

Cosmos DB

ArangoDB

Job description

Amida Technology Solutions, a DC-based tech company, seeks a Graph Data Scientist to advance graph algorithms for analytics and decision support. You will lead data modeling, embedding, and scalable training across client engagements and internal projects.

The role reports to the Director of Solutions and requires a hybrid schedule with three days in our Washington, DC office. Ideal candidates will have deep graph theory expertise and a track record of research leadership.