Staff Data Engineer (TS/SCI with Full Scope Polygraph) {S}
Position Overview
We are looking for a Staff Data Engineer/Scientist looking for new challenging problems. You will support the development of AI/ML algorithms in a multitude of disciplines from large language models, natural language processing, and time-series predictive analytics. Additionally, we have a team of excellent researchers and software developers who are eager to mentor and teach their craft. We have multiple positions available and welcome all experience levels!
Responsibilities
- Lead and mentor an interdisciplinary team consisting of both developers and researchers.
- The team's core focus is the implementation of ETL pipelines to support a variety of AI/ML and LLM solutions, which in turn address a broad range of customer challenges.
- Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources.
- Curate and maintain data that is stored in support of metrics and evaluation.
- Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
- Using Agile methodologies to develop software.
Required Qualifications
- B.S. in data science, AI/ML, computer science, or related field
- Minimum six (6) years of relevant experience as a Data Engineer/Scientist.
- Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars).
- Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket).
- Active TS/SCI U.S. Government Security Clearance with a recent Full-Scope Polygraph (FSP).
Preferred Qualifications
- M.S. or PhD in data science, AI/ML, computer science, or related field.
- Experience with Gitlab, DevSecOps utilizing test-driven development, containers, (e.g. Docker, Docker Compose), cloud services (e.g. AWS), tools for distributed computing (e.g. Spark, Pyspark).
- Experience leading an interdisciplinary team of researchers and software developers.
- Experience with any of the following:
- Large Language Models and experience identifying ways to incorporate them into new domains and applications.
- Applying Transformer-based architectures to domains in other areas outside of Natural Language Processing (NLP) such as computer vision.
- Natural Language Processing algorithms such as BERT.
- Reinforcement learning and familiarity with Gymnasium Gym, OpenEnv, TorchRL, RLlib, and Stable Baselines.
- Applying clustering algorithms and/or deep neural networks to real life problems.
- Implementing tracking and pattern-of-life algorithms.
- Experience with GenAI Ops techniques (e.g. LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix).
- Experience with Machine Learning libraries and frameworks such as HuggingFace and LangChain.
- Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda, Bedrock, etc.
- Experience with any of the following additional languages: Java, C++, Rust, Go, and/or C#.
- Experience implementing algorithms on the GPU in Python or C++ using CUDA and other CUDA libraries.
- Experience in application deployment, virtualization, and containerization (e.g. Podman, Docker, Kubernetes, Rancher).
Location
Herndon, VA
What We Offer
- Comprehensive medical/vision/dental insurance packages.
- Company contributions to qualified HSA accounts.
- 401k retirement plan with industry leading company contributions.
- 13 paid holidays.
- Annual bonus program based on company and employee performance.
- Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance.
- 4 weeks paid Parental Leave.
- Employee assistance program (EAP).
EHS/Environmental Requirements
This job operates in a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. This would require the ability to move around the campus and occasionally move/lift items weighing up to 25 lbs.
Reasonable Accommodations
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Pre-employment Screenings
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.