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Ediscovery In Jobs in Seattle, WA (NOW HIRING)

... discovery through AI tools and infrastructure, requiring expertise in machine learning and ... e.g., GCP, AWS, Modal) and containerization (e.g., Docker). • Strong collaboration and ...

Staff Attorney

Seattle, WA · On-site +1

$125K - $221K/yr

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Staff Attorney

Seattle, WA · On-site

$125K/yr

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

Proficient in advanced e-discovery tools, legal case management software, and remote collaboration technologies. * Demonstrated ability to mentor and lead junior attorneys and legal staff.

... discovery in domains such as biology, cancer research, neuroscience, social science, etc. • ... e.g., GCP, AWS, Modal) and containerization (e.g., Docker). • Strong collaboration and ...

Technical Program Manager III

Kirkland, WA · Remote

$146K - $189K/yr

They often work closely with engineering, product, and legal teams to ensure successful outcomes, particularly in areas like privacy, compliance, and data governance relevant to eDiscovery and ...

Technical Program Manager III

WA · On-site

$146K - $189K/yr

They often work closely with engineering, product, and legal teams to ensure successful outcomes, particularly in areas like privacy, compliance, and data governance relevant to eDiscovery and ...

Showing results 41-60

Ediscovery In information

See Seattle, WA salary details

$17.1K

$274.6K

$440.4K

How much do ediscovery in jobs pay per year?

As of Aug 21, 2026, the average yearly pay for ediscovery in in Seattle, WA is $274,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $227,600.00 and $341,400.00 per year, depending on experience, location, and employer.

Is ediscovery a good career?

Ediscovery is a growing field within legal and IT industries, involving the identification, collection, and analysis of electronic data for legal cases. It offers opportunities for specialized skills in data management, legal processes, and technology tools like eDiscovery software. The career can be stable and well-paying for those with relevant certifications and experience, but it requires ongoing learning due to evolving technology and legal standards.

What are the career paths in ediscovery in?

Careers in eDiscovery include roles such as eDiscovery analyst, project manager, forensic examiner, and legal technologist. Advancement often involves gaining expertise in eDiscovery tools like Relativity or Nuix, obtaining certifications such as Certified E-Discovery Specialist (CEDS), and developing skills in data management, legal procedures, and technology integration.

What skills are needed for ediscovery jobs?

Ediscovery jobs require strong analytical skills, attention to detail, and proficiency with e-discovery tools such as Relativity or Nuix. Knowledge of legal processes, data management, and basic understanding of cybersecurity and data privacy are also important for success in this field.

What are popular job titles related to Ediscovery In jobs in Seattle, WA?

For Ediscovery In jobs in Seattle, WA, the most frequently searched job titles are:

Infographic showing various Ediscovery In job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, 2% Temporary, and 9% Contract. Highlights an 71% Physical, 10% Hybrid, and 19% Remote job distribution, with an average salary of $274,601 per year, or $132 per hour.

Research Engineer, Asta

Ai2

Seattle, WA • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Ai2 is a non-profit AI research institute based in Seattle, focused on building breakthrough AI to solve significant global challenges. They are seeking a Research Engineer for the Asta Project, which aims to advance scientific discovery through AI tools and infrastructure, requiring expertise in machine learning and collaborative research.
Responsibilities:
• Building infrastructure to facilitate the next generation of LLM and agentic research.
• Creating AI tools to facilitate scientific discovery in domains such as biology, cancer research, neuroscience, social science, etc.
• Designing, building, and training machine learning or language models for agentic workflows.
• Bridging the gap between cutting-edge research and a widely adopted product.
• Bringing software engineering best practices to a research environment.
• Supporting and collaborating with an open-source community.
• Releasing your contributions back to the broader community in the form of open source software, model releases, and additions to Ai2’s public API and open research datasets, as well as technical reports.
Qualifications:
Required:
• A bachelor’s degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise in building ML infrastructure.
• 2+ years of experience building agentic infrastructure that handles tools, skills, and other artifacts.
• 2+ years of experience building infrastructure that handles data preprocessing/transformation and machine learning model training, evaluation, inference, and deployment.
• Knowledge of modern deep learning, natural language processing, and reinforcement learning techniques.
• Strong software engineering skills, particularly around building performant systems and debugging.
• Must have experience with Python and PyTorch/Jax/Tensorflow, agentic frameworks (e.g., MCP), as well as feel at ease in picking up new programming languages, libraries, or APIs as tools as project needs evolve.
• Familiarity with cloud compute resources (e.g., GCP, AWS, Modal) and containerization (e.g., Docker).
• Strong collaboration and communication skills - our environment is small and collaborative, and we'd like you to thrive while working closely with others, sometimes with complementary skills/perspectives.
Preferred:
• Advanced degree in CS/EE/Data Science/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience.
• Contributions to open-source ML or research libraries (e.g., spaCy, AllenNLP, transformers, langchain).
• Experience successfully operating at scale in a production setting.
• Experience in HPC settings.
• Curiosity about AI research.
Company:
We are a Seattle-based non-profit AI research institute founded in 2014 by the late Paul Allen. Founded in 2014, the company is headquartered in Seattle, USA, with a team of 201-500 employees. The company is currently Growth Stage.