Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.
## About the role
Adakerja is seeking a Research Scientist to join our team. In this role, you will be familiar with artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation.
You will have a keen interest in producing new science to understand intelligence and technology.
## What you'll do
- Take ownership to define business problems, analyze and design solutions for complex problem areas and/or opportunities in existing or new business initiatives; review model performance during implementation and identify opportunities for improvement
- Own the delivery of modeling solutions; define and prioritize science or engineering specifications for new approaches
- Evaluate cross-team perspectives, use quantitative methods to derive justification, and build consensus on a roadmap on the required level of analyses to meet goals
- Understand how easily a recommended solution can be implemented in a production system and/or operational process
- Understand the various methods for capturing data from systems (e.g., logging, log harvesting, etc.)
- Apply advanced scientific methods and principles, mathematical theory, and/or statistical analysis to improve upon existing approaches. You work to resolve the root cause of problems, including any bottlenecks in the team’s processes
## What we're seeking
### Must have
{{Please add qualifications or remove this section}}
### Nice to have
- A strong interest in receiving and implementing feedback and focus on improvement
- A servant leader who leads by doing
- You're autonomous and always willing to lead projects and create new ones
- A goal-driven mindset; someone who can think outside the box in order to meet objectives
- You take responsibility, love ownership, learn continuously, and have a growth mindset.
Similar Jobs
Artificial Intelligence
Develop and scale production-grade video foundation models for human-centric video generation. Lead applied research and engineering projects involving diffusion modeling, conditioning, distributed multi-node training, evaluation, ablation studies, inference optimization, reproducibility, monitoring, and production deployment. Collaborate across teams to deliver stable, controllable, high-quality, cost-efficient video generation systems.
Top Skills:
AWSCi/CdCudaDdpDeepspeedDiffusion ModelsDockerFsdpGitLatent Video Diffusion ModelsPythonPyTorchSequence ParallelismSlurm
Artificial Intelligence • Cloud • Information Technology • Software
Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and end-to-end experiments. Select and adapt open-weight models, design robust rewards, deploy models to production, and improve behavior using real-world usage. The role requires strong Python engineering, experience taking models from raw data to production, GPU familiarity, and collaborative remote work.
Top Skills:
FsdpGpusGrpoLlamaLoraOpenrlhfPythonQwenSglangTrlVerlVllm
Artificial Intelligence • Information Technology • Internet of Things
Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.
Top Skills:
FsdpGpusGrpoLlamaLoraOpenrlhfPythonQwenReinforcement LearningSglangTrlVerlVllm
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
