Applied AI Researcher, System Discovery Job at Distyl AI (San Francisco)

New

AI Engineer

The Institute for Informatics and Applied Technology (IIAT) aims to drive facult...

Location

United States , Gonzaga Main Campus, Washington

Salary:

100000.00 - 117600.00 USD / Year

Gonzaga University

Expiration Date

May 31, 2026

Requirements

Two (2) years of specific technology development experience in AI technologies
Demonstrated ability for software development
Demonstrated experience in visual analytics enabled with generative AI technologies
Demonstrated intellectual curiosity for continual learning, discovery and creation to challenge the status quo respectfully
Excellent verbal and written communication skills necessary to communicate with internal and external partners
Demonstrated ability to navigate in higher-ed environment while being adaptive and agile to ensure success of a start-up unit
Demonstrated appreciation for Gonzaga's and IIAT's mission for humanity-centered responsible AI learning and innovation
Bachelor's Degree or Equivalent Experience
3 years of related experience

Job Responsibility

Investigate and Develop AI and ML software, specifically for generative AI enabled visual analytics
Actively work with GU faculty, students, staff, and external partners to investigate and develop specialized AI/ML systems, including generative AI technologies, for teaching, research, and business operations
Independently develop custom AI technology and systems that fit partner's needs
Assist partners to acquire necessary knowledge and skills to use the developed system
Research and report AI/ML and visualization technology advances
Proactively and independently explore and attain specialized AI advances and technologies, including but not limited to LLM architecture, prompt engineering, fine-tuning/alignment, and guard rails, from a variety of sources
Independently apply attained technology advances to support partners' teaching, research, and business operation needs
Independently and regularly investigate advances in generative AI, and report and discuss such advances with the Director and the other IIAT staff
Work closely with the Director and partners to disseminate findings through paper writing, blog posting, git release, and assess commercialization viability to prepare IP documentation if deemed viable
Develop training and learning material

What we offer

relocation reimbursement or a signing bonus

Fulltime

Research Engineer, GenAI

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets
1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python
Fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Data Engineer

As a Data Engineer, you’ll build and refine the pipelines, data models, and serv...

Location

United States , Redmond

Salary:

155000.00 - 175000.00 USD / Year

2A Consulting

Expiration Date

Until further notice

Requirements

Proven ability to design and build end-to-end data systems, from ingestion through cleaning, structuring, storage, and serving
Experience building and shipping data products that deliver practical value
Demonstrated impact using AI models in data workflows (applied use, not ML research)
5+ years of software or data engineering experience, including at least 2 years of hands-on work with data pipelines
Comfortable defining architecture and starting systems from scratch, working independently in a small cross-functional team
Proficiency in Python, SQL, or similar languages used in data engineering workflows

Job Responsibility

Build and maintain core data pipelines
Build and maintain end-to-end ingestion pipelines for documents, datasets, code repositories, videos, transcripts, and internal knowledge sources
Clean, normalize, structure, and store data in formats that support both web applications and AI-driven use cases
Use “out of the box” Microsoft tools—such as Fabric, Azure services, Cosmos DB, or Copilot Studio—to create reliable, maintainable systems
Enrich and model research data
Use AI models to transform unstructured content into structured metadata and durable knowledge assets
Design the architecture and foundational data systems, establishing the patterns and infrastructure for a new, scalable environment
Develop and refine embeddings, vector indexes, and retrieval components to support semantic search and grounding scenarios
Build backend and data services
Build data services, APIs, and backend components that power internal applications and agent-supported workflows

What we offer

Flexible time-off plan
100% employer-paid medical, dental, and vision insurance
Employer-paid life insurance for those enrolled in medical coverage
401(k) plan with company match
Fertility, surrogacy, and adoption benefits
Fitness and caregiver benefits
Employee Assistance Program
100% employer-paid short- and long-term disability coverage

Fulltime

Applied Scientist, AWS Marketplace & Partner Services

The AWS Marketplace team is looking for an Applied Scientist to help build and i...

Location

United States , Seattle

Salary:

142800.00 - 193200.00 USD / Year

Amazon

Expiration Date

Until further notice

Requirements

Experience programming in Java, C++, Python or related language
PhD in computer science, machine learning, engineering, or related fields
3+ years of building machine learning models or developing algorithms for business application experience

Job Responsibility

Design, develop, and deploy AI/ML models for search ranking, query understanding, recommendation, and discovery systems
Develop and improve information retrieval systems that operate over complex product taxonomies, knowledge graphs, and structured/unstructured metadata
Build relevance models that capture nuanced relationships between customer intent, product capabilities, and domain-specific context
Advance both traditional discovery experiences (search, browse, personalized recommendations) and agentic discovery with multi-agent systems
Conduct experiments and A/B tests to measure and improve the relevance and performance of discovery features
Analyze large-scale datasets to identify patterns, generate insights, and inform model development
Collaborate with engineers and product managers to integrate AI/ML solutions into production systems
Stay current with relevant research in information retrieval, knowledge representation, NLP, and recommendation systems, and apply findings to improve our systems

What we offer

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

Fulltime

Senior Director – BioIntelligence

The AI & Data for Engineered Biologics (AIDE) organization at Amgen is seeking a...

Location

United States , Thousand Oaks

Salary:

239775.00 - 295217.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 5 years of experience applying machine learning or computational modeling to biological systems
OR Master’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 9 years of experience applying machine learning or computational modeling to biological systems
OR Bachelor’s degree in Computational Biology, Machine Learning, Bioinformatics, Computer Science, Biophysics, or related field and 11 years of experience applying machine learning or computational modeling to biological systems
At least 5 years experience directly managing people and/or leadership experience leading teams, projects, programs, or directing the allocation or resources

Job Responsibility

Lead the BioIntelligence Team within our Large Molecule Discovery organization, defining strategy and priorities for AI-driven biologics modeling
Develop and execute a roadmap for machine learning and AI approaches that accelerate engineered biologics discovery
Align BioIntelligence capabilities with broader Research and Large Molecule Discovery priorities
Oversee development of predictive models for key biologics properties, including developability, stability, manufacturability, and immunogenicity
Advance modeling approaches using modern AI techniques such as: protein language models
generative modeling and inverse folding
representation learning
active learning and Bayesian optimization
Guide the use of multimodal biological datasets including sequence, structure, and experimental assay data
Lead development of production-quality research software and deployable ML models used across discovery teams

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Fulltime

Machine Learning Research Engineer

You will be part of Kiddom’s Data Science team, building the foundation of our s...

Location

United States , San Francisco; New York

Salary:

175000.00 - 250000.00 USD / Year

Kiddom

Expiration Date

Until further notice

Requirements

Have 5+ years of industry experience applying machine learning to solve real-world problems with large, complex datasets, with 1–2 years in a technical leadership role
Proven track record designing, evaluating, and deploying ML/AI systems in production environments that drive measurable business impact, ideally in recommendation, personalization, search, or workflow optimization
Strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and common ML toolkits (scikit-learn, XGBoost, TensorFlow/PyTorch)
Strong analytical skills and ability to break down complex problems into measurable hypotheses and experiments
Excellent communication skills with a history of cross-functional collaboration with product, design, and engineering stakeholders

Job Responsibility

Architect and scale machine learning systems for search, personalization, and recommendations that power Kiddom’s teacher helper and insight engine
Develop evaluation-first development workflows to measure how models improve teaching efficiency, lesson planning, and student learning outcomes
Fine-tune machine learning models with feedback signals from teachers and students to align outputs with instructional goals and classroom needs
Design intelligent discovery pipelines that combine semantic retrieval, curriculum alignment, and real-time personalization
Build agentic assistants that help teachers plan lessons, adapt instruction, and reduce repetitive tasks
Collaborate closely with product managers, designers, and curriculum experts to translate high-level educational goals into scalable ML-powered systems
Coach and mentor junior ML engineers and data scientists, fostering technical and professional growth

What we offer

Competitive salary
Meaningful equity
Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
One Medical membership (in participating locations)
Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year
10 paid sick days per year (pro rated depending on start date)
Paid holidays
Paid bereavement leave
Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State
Commuter and FSA plans

Fulltime

Product Designer

Location

India , Hyderabad

Salary:

Not provided

Optmyzr

Expiration Date

Until further notice

Requirements

2–4 years of UI/UX design experience with a strong portfolio
Expert proficiency in Figma and strong design fundamentals
Demonstrated experience using AI tools (ChatGPT, Claude, etc.) in your workflow
Basic to intermediate understanding of HTML/CSS/JavaScript
Experience with AI-powered coding assistants (Cursor, Lovable, v0.dev, or similar)
Ability to build functional prototypes beyond static mockups
Strong communication skills and collaborative mindset

Job Responsibility

Design intuitive interfaces for our digital advertising optimization platform
Create user flows, wireframes, high-fidelity mockups, and interactive prototypes
Translate complex analytics and data into clear, actionable visualizations
Maintain and contribute to the design system
Use AI tools to accelerate ideation, iteration, and concept exploration
Apply prompt engineering to generate and test design variations
Leverage AI for competitive research and pattern discovery
Critically refine AI-generated outputs using human-centered principles
Design transparent, intuitive interfaces for AI-powered features and automation
Understand AI capabilities and limitations to create appropriate user experiences

What we offer

Impact & Scale
Modern AI + Code Workflow
Show, Don’t Tell Culture
Autonomy & Flexibility
Flexible hours and location
No unsustainable “crunch” culture
Subscriptions to tools like ChatGPT Plus and Cursor
Learning budgets

Fulltime

Software Engineer, Machine Learning

Figma is seeking a versatile and experienced Machine Learning / AI Engineer to j...

Location

United States , San Francisco; New York

Salary:

149000.00 - 350000.00 USD / Year

Figma

Expiration Date

Until further notice

Requirements

5+ years of industry experience in software engineering
3+ years focused on applied machine learning or AI
Strong experience with end-to-end ML model development, including training, evaluation, deployment, and monitoring
Proficiency in Python and familiarity with ML libraries like PyTorch, TensorFlow, Scikit-learn, Spark MLlib, or XGBoost
Experience designing and building scalable data and annotation pipelines, as well as evaluation systems for AI model quality
Experience mentoring or leading others and contributing to a culture of technical excellence and innovation

Job Responsibility

Design, build, and productionize ML models for Search, Discovery, Ranking, Retrieval-Augmented Generation (RAG), and generative AI features
Build and maintain scalable data pipelines to collect high-quality training and evaluation datasets, including annotation systems and human-in-the-loop workflows
Collaborate with AI researchers to iterate on datasets, evaluation metrics, and model architectures to improve quality and relevance
Work with product engineers to define and deliver impactful AI features across Figma’s platform
Partner with infrastructure engineers to develop and optimize systems for training, inference, monitoring, and deployment
Explore new ideas at the edge of what’s technically possible and help shape the long-term AI vision at Figma

What we offer

equity
health, dental & vision benefits
retirement with company contribution
parental leave & reproductive or family planning support
mental health & wellness benefits
generous PTO
company recharge days
a learning & development stipend
a work from home stipend
cell phone reimbursement

Fulltime

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Applied AI Researcher, System Discovery

Distyl AI

Location:
United States , San Francisco ▼
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 08, 2026

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Applied AI Researcher, System Discovery

Distyl AI

Location:United States , San Francisco ▼New York

Category:IT - Software Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:March 08, 2026

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