What are the responsibilities and job description for the Senior Applied Scientist, AI & Deep Learning position at MissionStaff?
We connect top talent in Business Services, Tech, Marketing & Creative with companies of all sizes—offering flexible, high-touch staffing solutions. We are currently filling the following direct-hire job for our client.
Senior Applied Scientist, AI & Deep Learning
Overview
Join a pioneering team at the forefront of AI innovation as a Senior Applied Scientist specializing in AI & Deep Learning. In this pivotal role, you will develop cutting-edge models and solutions that drive identity verification, fraud detection, and risk mitigation. This role offers an exciting opportunity to work on highly impactful projects, leveraging recent advancements in large language models, graph analytics, and natural language interfaces, within a fast-evolving space. Be part of a dynamic, high-growth environment where your expertise will directly influence the security and intelligence capabilities of a forward-thinking organization based in downtown Seattle with a hybrid work model.
Required Skills
- Ph.D. in Computer Science, AI, or related field; or equivalent industry experience in applied AI research
- 3-6 years of hands-on experience developing deep learning and machine learning models, with a focus on AI applications in identity, security, or risk
- Proven experience in building, deploying, and maintaining AI/ML solutions at scale, including familiarity with infrastructure, monitoring, and observability
- Proficiency in programming languages such as Python and C , with expertise in AI frameworks like TensorFlow, Keras, or PyTorch
- Strong understanding of deep learning architectures, graph neural networks, and advanced ML techniques
- Excellent communication skills capable of translating complex technical concepts for diverse audiences
- Demonstrated ability to think creatively, solve complex problems, and innovate in AI research
Nice to Have Skills
- Experience with natural language processing, large language models, or conversational AI systems
- Familiarity with MLOps practices, deployment into production, and lifecycle management
- Knowledge of identity verification, fraud detection, or regulatory compliance with high-quality, regulated data
- Publications or presentations at top-tier AI conferences or journals
- Experience with voice AI, natural language interfaces, or integrated AI solutions in enterprise settings
Preferred Education and Experience
- Ph.D. in Computer Science, Artificial Intelligence, or equivalent industry experience
- Minimum of 3-6 years of applied AI research and development experience, with a focus on deep learning, graph analytics, or related domains
- Prior exposure to working in a fast-paced environment with recent AI technologies (last 1-2 years)
MissionStaff is an equal opportunity employer. Please note that we do not accept unsolicited resumes from third-party recruiters or agencies. Additionally, candidates must be U.S. citizens or Permanent Residents to be considered for this position.