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Weekend Machine Learning Jobs in Oregon (NOW HIRING)

This role requires the ability to manage multiple projects concurrently; evening and weekend work ... Experience with Technology-Assisted Review (TAR) using machine learning and/or GenAI tools in an e ...

OR · On-site

$114K - $137K/yr

We are looking for a Senior Data Engineer to help evolve and scale our modern data ecosystem, including our data lake, data warehouse, and machine-learning enablement platforms. This role will ...

Your deep expertise in NLP, large language models, and machine learning systems will accelerate innovation and shape the future of pharmacy operations. What You'll Do * Lead the design, development ...

OR · On-site

As a Applied Scientist, you will lead the end-to-end development of advanced machine learning solutions, guiding initiatives from ideation through production, and mentoring peers across the ...

Develop and train machine learning models to solve problems such as prediction, classification, and clustering. * Validate and deploy models into production environments. * Communicate findings and ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

Hands-on development and write algorithms in machine learning, statistical modelling, neural nets, and pattern recognition from data exploration * Develop, train, and deploy ML models for Time-series ...

$114K/yr

The Data Scientist 2 creates complex machine learning models used to identify key data features that will enable the models to derive insights that are predictive in nature and enable stakeholders to ...

AI Data Engineer - Manager

Portland, OR · On-site

$121K - $145K/yr

Lead the development of AI models (e.g., machine learning, natural language processing, computer vision) and implement scalable AI solutions. Collaboration and Stakeholder Engagement * Collaborate ...

Develop, implement, and deploy machine learning models and statistical analyses to optimize energy storage and solar asset performance across Stem's portfolio * Design and build data pipelines to ...

Design and build scalable models that leverage best-in-class statistical and machine learning techniques to be integrated into analytics workflows across the business * Collaborate with other members ...

New

Experience building production-grade machine learning deployments on AWS, Azure, or GCP. * Experience working with Apache Spark and large-scale distributed datasets. * Experience communicating ...

Data Scientist 1

OR · On-site +1

$95K - $115K/yr

They will be naturally curious about data purity, big data analysis, machine learning, and product development, and have proven strengths in data science and data engineering. Our team of Data ...

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Showing results 1-20

Weekend Machine Learning information

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation may include base salary, bonuses, and stock options, especially in competitive markets or executive-level roles.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as machine learning engineers, healthcare professionals, and skilled tradespeople, are more likely to survive AI automation. These roles often involve nuanced decision-making, emotional intelligence, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

What jobs pay $2000 a day?

High-paying jobs that can pay $2000 a day often include specialized roles such as senior consultants, freelance software developers, or certain executive positions. These roles typically require advanced skills, extensive experience, and sometimes certification, and they may involve project-based or contract work with high hourly or daily rates.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and sometimes advanced degrees or certifications. Compensation at this level often includes base salary, bonuses, and stock options, reflecting the role's seniority and impact.
What are the most commonly searched types of Machine Learning jobs in Oregon? The most popular types of Machine Learning jobs in Oregon are:
What are popular job titles related to Weekend Machine Learning jobs in Oregon? For Weekend Machine Learning jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Weekend Machine Learning jobs? Cities in Oregon with the most Weekend Machine Learning job openings:
Advanced Technologies Consultant

Advanced Technologies Consultant

Epiq

Beaverton, OR • On-site

$110K - $135K/yr

Full-time

Posted 22 days ago


Epiq Systems rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

112th of 204 rated it services


Job description

At Epiq, your work contributes to complex, global legal outcomes. You'll join a valuesdriven community where integrity guides decisions, relentless service sets the bar, and we thrive on big challenges together. We invest in your growth with enterprisewide learning and mobility. We celebrate who you are, and we respect life beyond work with flexibility that's recognized externally. Enabled by modern platforms and AI, you'll do the most meaningful work of your career and see your impact at scale.

Job Description:

Position Summary

Epiq's Advanced Technologies Consultants support clients' document review needs using advanced analytics, including machine learning and generative AI. Working closely with the Associate Director and the broader Advanced Technologies Core practice group, the Consultant advises clients on defensible workflows and serves as a subject matter expert in applying machine learning and/or generative AI to client data sets. The Consultant partners with Client Services and Document Review Services to ensure successful engagements and coordinates with internal teams including Sales, Managed Review, and Information Technology. This role requires the ability to manage multiple projects concurrently; evening and weekend work may occasionally be required to meet case needs and deadlines.

Primary Responsibilities:

  • Serve as a subject matter expert on predictive coding (TAR 1.0 and 2.0) and AI-enabled review workflows.
  • Consult with external stakeholders to identify appropriate analytics tools, workflows, and required deliverables.
  • Build and manage models in Epiq AI (EAI), Relativity aiR, and Relativity Active Learning; advise on model selection and use-case scenarios.
  • Develop and refine prompts and instructions for AI tools (chat and classification) to improve quality and consistency of outputs.
  • Implement EpiqAI for Privilege and Relativity aiR for Privilege workflows; advise on appropriate use cases and clearly articulate tool capabilities, limitations, and defensibility considerations to clients and internal teams.
  • Explain statistical measurements, validation concepts, and key considerations to audiences with varying technical backgrounds (written and oral communication).
  • Stay current on developments in eDiscovery, analytics, and AI/GenAI capabilities relevant to review.
  • Demonstrate end-to-end knowledge of the eDiscovery lifecycle, including identifying potential risks/headwinds for AI processes and defining the critical path for review and production.
  • Draft recommended protocols and respond to client specifications and technical requests.
  • Document project decisions and transfer knowledge to Managed Review and Client Services teams to enable efficient, repeatable TAR/AI workflows.
  • Maintain expertise through ongoing education and relevant certifications in the analytics platforms deployed by Epiq.
  • Mentor colleagues and serve as an internal subject matter expert to expand Epiq's analytics knowledge.
  • Contribute to thought leadership through speaking opportunities and authorship.
  • Support business development as needed through demonstrations, training, client presentations, and pre-sales meeting participation.

Required Qualifications:

  • Ability to support client needs aligned to Eastern Time (most clients prefer EST hours of availability).
  • Bachelor's degree or higher (or equivalent experience).
  • Minimum 5 years of client-facing experience in an eDiscovery capacity.
  • Proficiency with Relativity (Server or RelativityOne), Epiq Discover, and administration of document review databases.
  • Experience with Technology-Assisted Review (TAR) using machine learning and/or GenAI tools in an eDiscovery context.
  • Strong understanding of large language models (LLMs).
  • Experience crafting prompts for LLMs (e.g., Copilot, Claude, Gemini, Harvey) and evaluating/refining outputs.
  • Proficiency with Microsoft 365 (O365).
  • Ability to synthesize complex solutions into clear, client-ready explanations.
  • Exceptional verbal and written communication skills.
  • Excellent issue-spotting and problem-solving skills.
  • Willingness to go above and beyond to meet client expectations.

Preferred Qualifications:

  • Advanced degree preferred. Significant relevant industry experience may be considered in lieu of an advanced degree.
  • Relativity Certified Administrator certification.
  • Familiarity with Relativity Active Learning, Reveal AI, Brainspace, or similar TAR/AI tools used to reduce data volumes and organize data for review (certification preferred).
  • Experience managing privilege reviews and providing procedural guidance, including common-name normalization, drafting privilege log descriptions, and applying standard industry workflows for privilege identification.
  • Power BI, Python, and/or SQL experience.

The compensation range for this role is $110,000 to $135,000 USD annually and may be eligible for an annual bonus.

Your specific salary will be determined based on several factors:

  • Location-based market ratefor the role

  • Your abilitiesin relation to the job specification

  • Performanceduring screening and interview

  • Pay paritywith the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

Epiq Leadership Compass

Fosters Relationships & Collaboration

Builds trust and alignment through open communication, shared goals, and strong partnerships to drive collective success.

  • Build trust-based partnerships

  • Nurture long-term relationships

  • Remove collaboration barriers

  • Celebrate cross-team success

Engages & Influences

Inspires action and alignment through clear communication, purposeful influence, and a compelling vision.

  • Use storytelling to build buy-in

  • Align communication with organizational goals

  • Guild alignment through strong engagement

Maximizes Performance

Sets and reinforces performance standards that drive results, ensure accountability, and align with Epiq's goals.

  • Use data to identify improvement opportunities

  • Make informed decisions

  • Align team goals with boarder strategy

  • Empower teams to manage their own goals

  • Translate vision into clear priorities

  • Prepare for disruptions with strong change management

Achieves Operational Success

Drives continuous improvement and operational excellence through smart processes, data insights, and quality execution.

  • Improve workflows for team efficiency

  • Use clear documentation and expectations

  • Resolve issues quickly using data and feedback

It is Epiq's policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual's race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law. Epiq's policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction. In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.


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