Machine Learning Engineer, Content and Navigation Job at Whatnot (San Francisco, CA, New York, NY, Los Angeles, CA, Seattle, WA)

Associate Director, Reinforcement Learning (ML)

Lead Amgen’s strategy and execution for Reinforcement Learning from Human Feedba...

Location

United States , Thousand Oaks; Jacksonville

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree and 3 years of Computer Science, IT or related field experience
Master’s degree and 5 years of Computer Science, IT or related field experience
Bachelor’s degree and 7 years of Computer Science, IT or related field experience
Associate’s degree and 12 years of Computer Science, IT or related field experience
High school diploma / GED and 14 years of Computer Science, IT or related field experience
Deep, hands-on expertise in Reinforcement Learning from Human Feedback (RLHF) and/or advanced reinforcement learning, including reward modeling, policy optimization, exploration strategies, and offline/online evaluation
Demonstrated experience deploying RLHF or RL systems into production for real-world applications (e.g., large language models, recommendation systems, decision support tools, or workflow automation), ideally in healthcare, life sciences, or other regulated domains
Strong background in modern machine learning and deep learning, with practical experience in Python and frameworks such as PyTorch or TensorFlow, and familiarity with LLM ecosystems and tooling
Experience driving sophisticated, cross-functional initiatives, collaborating with non-technical stakeholders (e.g., physicians, scientists, commercial leaders, compliance, legal) and translating needs into impactful AI solutions
Strong ability to communicate complex technical topics simply, tailoring content to senior executives and non-technical audiences

Job Responsibility

Lead the design and development of RLHF systems including reward modeling, policy optimization, safety and alignment mechanisms, and evaluation frameworks for large language models and other AI systems
Drive hands-on technical execution, particularly for high-impact projects, reviewing architectures, experimentation plans, and code, and helping the team navigate scientific and engineering trade-offs
Establish best-practice pipelines for human feedback, partnering closely with internal customer teams to define feedback protocols, annotation quality standards, and governance for RLHF data
Define and track success metrics for RLHF systems, balancing offline and online evaluation, A/B tests, safety and robustness criteria, and business or scientific outcomes
Collaborate across Amgen leaders to ensure RLHF solutions are aligned with strategy, compliant with policy, and integrated into real workflows
Partner with Data, Platform and Technology teams to ensure that RLHF workloads are supported by scalable data platforms, model hosting, experimentation infrastructure, and MLOps best practices
Champion responsible and compliant AI, working with Legal, Compliance, and Information Security to implement governance around human feedback, data usage, model behavior, transparency, and risk management in a regulated environment
Communicate insights and influence senior stakeholders, creating clear narratives, roadmaps, and recommendations that help executives understand RLHF trade-offs, risks, and opportunities

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

Principal Data Scientist Manager

At Worldwide Learning (WWL), our mission is to inspire every person and organiza...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience
OR equivalent experience
3+ years people-management experience

Job Responsibility

Lead product data insights for Microsoft internal and external skilling/learning solutions such as AI Skills Navigator to drive product improvement and better learning outcomes for users and customers
Build a global learner graph representing relationships among skills, certifications, content, modalities, and multi-step learning pathways using graph intelligence techniques (GraphRAG, embeddings, entity resolution, GNNs)
Develop, operationalize, and evolve competency models, skill taxonomies, and certification readiness frameworks to measure proficiency progression and mastery
Create multi-step journey analytics for learners, partners, and field roles using sequential modeling, trajectory prediction, and pathway optimization
Apply LLMs and multi-modal embeddings to learning content (text, transcripts, assessments) to align content to skills, outcomes, and recommended learning paths
Invent and deliver standardized metrics and KPI frameworks that quantify learning outcomes, content effectiveness, competency development, and readiness improvement
Lead A/B testing, uplift modeling, counterfactual analysis, and causal inference to evaluate the impact of learning programs, content interventions, and skilling experiences
Build model evaluation frameworks including reliability scoring, bias detection, longitudinal cohort analysis, and scenario simulation
Quantify the relationship between learning outcomes and downstream business impact such as customer success, partner readiness, deployment velocity, Azure consumption, and revenue performance
Partner with the Microsoft Partner Division, Global Partner Solutions (GPS), and Worldwide Learning to assess partner skilling, certification progress, capability gaps, and ecosystem readiness

Fulltime

AI Learning Architect

In this pivotal role, you will be the chief architect of the pedagogical soul of...

Location

United Kingdom , London

Salary:

Not provided

Multiverse

Expiration Date

Until further notice

Requirements

Substantial and demonstrable experience in pedagogical design, learning architecture, or senior instructional design roles, with a strong focus on adult learners and work-based learning
A deep understanding and practical application of learning theories, particularly constructivism, and experience designing learning frameworks that prioritise problem-based or hands-on activities over traditional academic approaches
Proven experience developing and implementing scalable learning frameworks or systems that have been successfully used by other instructional designers or content creators
Familiarity with the UK apprenticeship levy and its regulatory requirements is highly desirable
Solid understanding of how Large Language Models (e.g. Gemini, ChatGPT etc.) work and their usage in a content creation workflows
While direct experience writing rules for AI is a plus, we are equally interested in candidates who have created highly structured, rule-based learning frameworks for human designers
Exceptional analytical, conceptual, and systems-thinking skills, with the ability to deconstruct complex pedagogical concepts into precise, logical rules
Outstanding communication and collaboration skills, with the ability to act as the bridge between academic theory and technical implementation
A passion for the future of education and a belief in the power of technology to revolutionise how people learn and develop new skills

Job Responsibility

Architect AI Learning Frameworks: Design, develop, and document a comprehensive set of rules and principles for our AI to follow when generating learning content. This framework will be the blueprint for our entire learning methodology
Embed Pedagogical Excellence: Translate established learning pedagogy, andragogy, and cognitive best practices into a clear, logical, and machine-readable rule set. You will be the expert voice ensuring our AI teaches effectively
Champion Hands-On Learning: Codify our problem-first, hands-on instructional sequencing into the AI's core logic, ensuring all generated content aligns with our active learning philosophy
Navigate Regulatory Landscapes: Integrate the complex regulatory requirements of the UK apprenticeship levy (and others as we expand) into the learning design rules, ensuring all content is compliant and of the highest standard
Collaborate with AI Teams: Partner closely with AI developers and engineers to ensure your pedagogical frameworks are accurately interpreted and implemented within the AI models
Empower Content Experts: Work in a close, collaborative partnership with programme and instructional designers and subject matter experts. You will enable them to leverage the frameworks you build and establish a continuous feedback loop to refine and improve the pedagogical rule set
Iterate and Innovate: Continuously evaluate the quality of AI-generated content, refining and iterating upon the learning rules to drive constant improvement and innovation
Stay at the Forefront: Remain current on emerging trends and research at the intersection of learning science, adult education, and artificial intelligence, bringing new ideas and best practices to the team

What we offer

Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year
Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support
Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month
Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year
Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked!

Fulltime

Sr. Scientist, UberEats Applied AI (Machine Learning)

Working at Uber means solving hard problems in a high-stakes, fast-moving enviro...

Location

United States , San Francisco; Sunnyvale

Salary:

190000.00 - 211000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields
Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
Proficiency in Python or R with experience handling large-scale datasets using Spark, Hive, or PySpark
Proven experience in building and training Deep Learning models
Solid understanding of statistical methods, experimental design, and A/B testing

Job Responsibility

Design and implement ML algorithms and objective functions that unify competing business interests like organic relevance and sponsored content into a single value space
Act as the science lead for foundational machine learning initiatives, unblocking technical debt and optimizing feature engineering for high-scale, real-time systems
Navigate the ambiguity of user behavior by designing sophisticated experiments and causal inference frameworks that go beyond standard A/B testing
Collaborate across disciplines (Product, Engineering, and Data Science) to translate high-level business goals into theoretically sound and performant technical roadmaps
Research and apply advancements in Deep Learning, Reinforcement Learning, and GenAI to solve complex, high-impact problems without a clear starting point
Own your algorithms/ML workflow, from the first scientific hypothesis to debugging production issues in real-time, low-latency environments

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits (details at provided link)

Fulltime

Content Strategist III

This is an exciting opportunity to join a leading global technology company, whe...

Location

United States , New York

Salary:

57.57 - 63.97 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

Proven experience (4+ years) in content strategy, technical writing, or related editorial roles
Bachelor’s degree in English, Communications, or equivalent practical experience
Demonstrated ability to translate complex technical information into clear, concise, and engaging content for diverse audiences
Extensive experience collaborating effectively with subject matter experts
Familiarity with metadata, structured data, and taxonomies for AI optimization
Writing samples required

Job Responsibility

Develop and implement comprehensive content strategies that align with organizational goals and user needs, including purposeful planning for timely content delivery and operational alignment across systems and teams
Structure, govern, and surface content across various platforms (e.g., CMS, AI assistants, HR documentation) to ensure consistency, accessibility, and scalability
Collaborate closely with subject matter experts to distill complex information into clear, concise, and engaging content for internal employee and HR audiences
Write and edit a diverse range of content types, ensuring accuracy, clarity, and adherence to established standards
Manage content directly within Knowledge Management Systems, producing articles and other content for internal display surfaces
Oversee the information architecture and navigation of internal content surfaces to enhance user experience
Create and maintain content standards, templates, and best practices to streamline content creation and management across various teams
Partner with cross-functional stakeholders (program SMEs, product, engineering, design, etc.) to align content initiatives with business priorities and user journeys
Optimize content for AI-readiness and reusability, enabling efficient self-service and measurable business results
Ensure all content is formatted, labeled, and organized to support machine learning, natural language processing, and generative AI use cases (e.g., chatbots, search, automated help)

What we offer

subsidized health, vision, and dental plans
paid sick leave
retirement plans with a match
free online training through Aquent Gymnasium

Software Engineer, AI Safety

At OpenAI, we're dedicated to advancing artificial intelligence, and we know tha...

Location

United States , San Francisco

Salary:

185000.00 - 325000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Built and run production services in a high growth, rapidly scaling environment
Can debug live issues and restore systems quickly
Experience with content safety, fraud, or abuse, or are motivated and excited to work on present-day (“now-term”) AI safety
Experience with Python or with modern languages such as C++, Rust, or Go, and are able to quickly ramp up on Python
Understand the trade-offs of capabilities and risks and navigate them to deploy novel products and features safely
Can critically assess risks of a new product or feature and devise innovative solutions to mitigate these risks without harming the product experience
Pragmatic, knowing when to build a quick, good-enough fix, and when to invest in a robust, lasting solution
Possess strong project management skills, self-directed and can remove roadblocks to drive projects to completion with minimal guidance
Deployed classifiers or machine learning models, or are excited to learn about modern ML infra
Experience with technologies like Terraform, Kubernetes, Azure, Python, Postgres, and Kafka is valued

Job Responsibility

Architect, build, and maintain anti-abuse and content moderation infrastructure designed to protect us and end users from unwanted behavior
Work closely with our other engineers and researchers to utilize both industry standard and novel AI techniques to measure, monitor and improve AI models’ alignment to human values
Diagnose and remediate active incidents on the platform and build new tooling and infrastructure that address the root causes of system failure

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 (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Forward Deployed AI Engineer

As a Forward Deployed AI Engineer on our Enterprise team, you'll be the technica...

Location

United States , San Francisco; New York

Salary:

179400.00 - 224250.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Job Responsibility

Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
Deploy and configure AI models and agents within customer security and compliance boundaries
Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
Architect multi-agent systems that orchestrate between different models, tools, and data sources
Implement evaluation frameworks to measure agent performance and iterate toward business objectives
Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement
Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
Build and maintain prompt libraries, templates, and best practices for customer use cases

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity based compensation
additional benefits such as a commuter stipend

Fulltime

Forward Deployed AI Engineering Manager, Enterprise

As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be t...

Location

United States , San Francisco; New York

Salary:

216000.00 - 270000.00 USD / Year

Scale

Expiration Date

Until further notice

Requirements

5+ years of software engineering experience
2+ years of Management experience with strong fundamentals in data structures, algorithms, and system design
Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Job Responsibility

Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
Deploy and configure AI models and agents within customer security and compliance boundaries
Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
Architect multi-agent systems that orchestrate between different models, tools, and data sources
Implement evaluation frameworks to measure agent performance and iterate toward business objectives
Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement
Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
Build and maintain prompt libraries, templates, and best practices for customer use cases

What we offer

Comprehensive health, dental and vision coverage
retirement benefits
a learning and development stipend
generous PTO
equity grant
commuter stipend

Fulltime

Machine Learning Engineer, Content and Navigation

Whatnot

Location:
United States , San Francisco, CA, New York, NY, Los Angeles, CA, Seattle, WA

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 18, 2026

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