CrawlJobs Logo

Applied AI Researcher, System Discovery

distyl.ai Logo

Distyl AI

Location Icon

Location:
United States , San Francisco

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

130000.00 - 250000.00 USD / Year

Job Description:

At Distyl we’re pushing the envelope of AI utilization in enterprise. This requires creative researchers who don’t just want to drive incremental improvements on benchmarks or optimize an existing process but instead are looking to creatively redefine how software is used. Our researchers come from many academic backgrounds but have strong research track records, operate in an AI-native way, and would be bored staying on the rails of a traditional research org.

Job Responsibility:

  • Identify entirely new classes of AI systems
  • Explore a wide range of architectures, modalities, and compositions to uncover how AI can most effectively reshape work
  • Draw connections across disparate domains to uncover new system archetypes
  • Experiment with unconventional problem definitions and develop prototypes that reveal new categories of human–AI collaboration

Requirements:

  • Experience building a wide breadth of systems (retrieval pipelines, reasoning agents, evaluation harnesses, multimodal integrations, workflow graph systems)
  • Experience building with models, not just building models (expertise in compound AI systems, agentic collaboration, and associated techniques like ensembling, ReAct, graph-of-thoughts)
  • Proven track record of research results (published in top journals, posted work online)
  • Uses AI every day (tools like ChatGPT, Cursor, Perplexity to accelerate workflow)
  • Strong programming and data analysis skills
  • Biases towards showing vs telling
What we offer:
  • 100% covered medical, dental, and vision for employees and dependents
  • 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)
  • Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems
  • Ownership of high‑impact projects across top enterprises
  • A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence
  • Meaningful equity

Additional Information:

Job Posted:
March 08, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Applied AI Researcher, System Discovery

New

Assistant VP of Research & AI Enablement

The Assistant Vice President for Research and AI Enablement provides strategic a...
Location
Location
United States , Norfolk
Salary
Salary:
Not provided
odu.edu Logo
Old Dominion University
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in a relevant field (e.g., data science, information systems, educational technology, or related discipline)
  • Comprehensive experience in research, including participation in or support of externally funded research initiatives
  • Significant leadership experience in digital innovation, research computing, or technology-enabled research environments
  • Considerable direct experience with research computing environments, cloud platforms (e.g. , GCP, AWS), and high-performance computing
  • Experience with AI/ML technologies and their application in research contexts
  • Demonstrated ability to lead across research, academic, and operational domains
  • Proven ability to collaborate effectively with researchers, faculty, and institutional stakeholders
Job Responsibility
Job Responsibility
  • Provides strategic and operational leadership for the environments, platforms, and capabilities that enable, power, and operationalize the university’s research ecosystem through AI, research computing, and integrated digital capabilities
  • Bridges research, teaching and learning, and operational innovation
  • Focuses on building and operating scalable, secure, and high-performance environments that support research, while translating those capabilities into broader institutional impact through instructional innovation and operational applications
  • Connects AI, research computing, and digital product development to enable new models of discovery, learning, and execution
  • Translates research capabilities into applied solutions that support academic programs, institutional operations, and external partnerships
  • Serves as a key institutional connector, working closely with researchers, academic leadership, the University Information Security Office (UISO), and other stakeholders
  • Connects research, AI, and applied innovation through MonarchSphere, enabling the translation of research into scalable solutions, pilots, and real-world outcomes
  • Fulltime
Read More
Arrow Right

Research Engineer, GenAI

You will be part of Kiddom’s Data Science team, building the foundation of our s...
Location
Location
United States , San Francisco; New York
Salary
Salary:
175000.00 - 250000.00 USD / Year
kiddom.co Logo
Kiddom
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Data Engineer

As a Data Engineer, you’ll build and refine the pipelines, data models, and serv...
Location
Location
United States , Redmond
Salary
Salary:
155000.00 - 175000.00 USD / Year
2a.consulting Logo
2A Consulting
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right
New

Applied Scientist, AWS Marketplace & Partner Services

The AWS Marketplace team is looking for an Applied Scientist to help build and i...
Location
Location
United States , Seattle
Salary
Salary:
142800.00 - 193200.00 USD / Year
Amazon
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Director – BioIntelligence

The AI & Data for Engineered Biologics (AIDE) organization at Amgen is seeking a...
Location
Location
United States , Thousand Oaks
Salary
Salary:
239775.00 - 295217.00 USD / Year
amgen.com Logo
Amgen
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Machine Learning Research Engineer

You will be part of Kiddom’s Data Science team, building the foundation of our s...
Location
Location
United States , San Francisco; New York
Salary
Salary:
175000.00 - 250000.00 USD / Year
kiddom.co Logo
Kiddom
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Product Designer

Location
Location
India , Hyderabad
Salary
Salary:
Not provided
optmyzr.com Logo
Optmyzr
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Software Engineer, Machine Learning

Figma is seeking a versatile and experienced Machine Learning / AI Engineer to j...
Location
Location
United States , San Francisco; New York
Salary
Salary:
149000.00 - 350000.00 USD / Year
figma.com Logo
Figma
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right