Top Secret ML Data Scientist: LLMs, GPUs, TS/SCI

B4Corp; McLean (VA); Presencial; USD 243.000 - 297.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401k plan with employer match up to 6%

phantom stock (2-year vesting)

Medical insurance options

Dental insurance

Vision insurance

Short-term disability (60% up to $2,0

Long-term disability (60% up to $10,0

Life insurance $200,000

Descripción de la vacante

B4Corp seeks a Machine Learning Engineer/Data Scientist with a Top Secret (TS/SCI) Clearance (with Polygraph) to work on AI/ML models in a defense sector context. Location is McLean, VA, with core hours 9am–4pm and salary up to $270,000 per year.

Responsibilities include tuning neural networks on custom data, building models and ensembles in Python, and leveraging GPUs for accelerated computing. Strong expertise in PyTorch/TensorFlow/Keras and SQL is required.

Formación

• Demonstrated experience tuning neural networks on custom data sets and applying results to specific use cases.
• Demonstrated professional or academic experience developing models and ensembles in AI/ML space with Python.
• Demonstrated experience with deep learning frameworks such as PyTorch, TensorFlow, or Keras.
• Demonstrated experience with SQL including CTEs, set operations, aggregates, and subqueries.
• Demonstrated experience leveraging GPUs for accelerated computing.
• Experience testing and validating AI systems, especially LLM-based benchmarks.
• Experience with experiment design and execution for LLM performance benchmarking.

Conocimientos

Python

SQL

GPU acceleration

Deep learning

LLM tuning

Data modeling

Git/Jenkins

Herramientas

GitHub

Jenkins

Descripción del empleo

B4Corp seeks a Machine Learning Engineer/Data Scientist with a Top Secret (TS/SCI) Clearance (with Polygraph) to work on AI/ML models in a defense sector context. Location is McLean, VA, with core hours 9am–4pm and salary up to $270,000 per year.

Responsibilities include tuning neural networks on custom data, building models and ensembles in Python, and leveraging GPUs for accelerated computing. Strong expertise in PyTorch/TensorFlow/Keras and SQL is required.