Principal Machine Learning Researcher

OVERVIEW Blue Halo is looking to hire exceptional and motivated talent who can both operate at scale and grow with the platform. Blue Halo thrives at standing on the mission's edge supporting missions that matter. We remain singularly focused on implementing our client's vision and accelerating the execution of their goals providing cross cutting solutions in intelligence operations, identity management and data management. We have an amazing team and looking for problem solvers, innovators, technologists, and operators looking to remain in the forefront of driving meaningful change and seeking to make an enduring impact on the national security mission. Make your mark standing at the mission's edge. WHAT YOU WILL DO We are seeking a Principal Machine Learning Researcher to work collaboratively with our highly talented team to further our research in generative adversarial networks (GANs), Latent Diffusion Models, and related content generation methods. The ideal candidate has experience developing new models, methods, and algorithms based on published research and related technology trends. The position requires both developing detailed solution architecture and hands on software development of the algorithms. The position is responsible for the design, supervision, and direct manipulation of model training, as well as coordination with team members in effective research and engineering practices to reduce training time and increase output quality. Candidates must have strong programming skills in Python, fluency with TensorFlow 2.x, and previous experience working with a team of research engineers to productize offerings WHAT QUALIFICATIONS YOU WILL BRING A Bachelor's degree in Computer Science, Engineering, Machine Learning, or related fields from a nationally accredited college/university OR at least 6 years of experience in a similar Machine Learning Engineering or Research role. U.S. citizenship is required. Experience with distributed/multi-gputraining of deep neural networks. Experience with generative modeling techniques (ex: GANs, Latent Diffusion). Proficiency in Image Processing, Image Analysis, and/or Computer Vision. Fluency with Python. Familiarity with other deep learning frameworks such as Keras,PyTorch, JAX, or ONNX. Fluency with TensorFlow 2.x. Strong communication ability to coordinate across engineering and customer-facing team. Experience mentoring junior staff on Machine Learning concepts and coding techniques. Desired: 10+ years Python experience. Post graduate degree in Machine Learning or Artificial Intelligence, preferably in Computer Vision or a related subject area. Knowledge oftraditional 3D rendering pipelines or physics-based simulations. Familiarity with distributed computing libraries such as Horovod, MPI, Dask, or Ray. Experience with the C programming language, CUDA, or openGL. Ability to work independently, in a SCRUM-like environment with strong desire to push your ideas into production, overcoming obstacles, in order to deliver impact. This is a remote position with preference for a candidate who is located within the DMV (DC, Maryland, Virginia) area. CLEARANCE None EEO Statement "BlueHalo is committed to hiring and retaining a diverse workforce. We are proud to be an equal opportunity employer. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, physical or mental disability, sexual orientation, gender identity, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes. If you are an individual with a disability and would like to request a reasonable workplace accommodation for any part of the employment process, please send an email to . Please indicate the specifics of the assistance needed. This option is reserved only for individuals who are requesting a reasonable workplace accommodation. It is not intended for other purposes or inquiries."

Created: 2024-11-05