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

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

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

New

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

Forward Deployed Engineer

OpenAI’s Forward Deployed Engineering team partners with global pharma and biote...

Location

United States , San Francisco

Salary:

198000.00 - 335000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software
PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged
Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation
Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout
Communicate clearly across scientific, clinical, model research, technical, and executive audiences
Apply systems thinking with high execution standards

Job Responsibility

Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows
Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints
Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact
Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling
Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes
Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Forward Deployed Engineer, Life Sciences

OpenAI’s Forward Deployed Engineering team partners with global pharma and biote...

Location

Germany , Munich

Salary:

Not provided

OpenAI

Expiration Date

Until further notice

Requirements

5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software
PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged
Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation
Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout
Communicate clearly across scientific, clinical, model research, technical, and executive audiences
Apply systems thinking with high execution standards

Job Responsibility

Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows
Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints
Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact
Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling
Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes
Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments

What we offer

relocation assistance

Fulltime

Forward Deployed Engineer

OpenAI’s Forward Deployed Engineering team partners with global pharma and biote...

Location

United States , New York City

Salary:

198000.00 - 335000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software
PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged
Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation
Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout
Communicate clearly across scientific, clinical, model research, technical, and executive audiences
Apply systems thinking with high execution standards

Job Responsibility

Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows
Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints
Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact
Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling
Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes
Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

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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