Contextual AI Research Engineer Job at Meta (Sunnyvale)

Research Engineer - Contextual AI

In this role, you will adapt and deploy advanced real-time smart glasses algorit...

Location

United States , Redmond

Salary:

181000.00 USD / Year ▼

Context Layer & GTM Engineer

Bloomreach is seeking a Context Layer & Platform Engineer to architect and maint...

Location

Czechia , Bratislava; Brno; Prague

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

You've built or scaled data pipelines, ETL systems, or API backends that serve multiple downstream consumers - and understand the discipline of versioning, backward compatibility, and operational stability
You know Salesforce deeply - data model, custom objects, field governance, deduplication strategies, API limitations - and can architect data quality processes that scale
You're expert with N8N, Supabase/Postgres, and API integrations. You can design schemas, optimize queries, version APIs, and think about performance at scale. You've built systems that balance flexibility with simplicity
You understand LLM-adjacent tooling and can reason about prompt versioning, retrieval quality, latency trade-offs, and how to structure data so agents consume it predictably
You love operational rigor - monitoring, alerting, observability, runbooks. You believe that boring infrastructure is good infrastructure, and you want to measure and communicate it
You're comfortable with ambiguity and can break down a big architectural challenge ("serve 200 agents with consistent context") into testable, shippable milestones
You thrive in cross-functional environments and can translate between data engineers, product teams, AI researchers, and business stakeholders. You can speak both technical and business language
You're driven by the challenge of turning messy data into clean intelligence - and seeing that intelligence power products and decisions in real time
You're curious about how GTM works and motivated to understand not just the "what" but the "why" - so you build systems that are useful, not just technically sound
You have strong project ownership instincts - you see things through from design to maintenance, and you take pride in systems that run reliably at scale

Job Responsibility

Own Salesforce data integrity: Take responsibility for data quality, deduplication, and enrichment across Salesforce. Use AI enriching accounts and contacts with the right data, eliminating duplicates, standardizing fields, validating data freshness, and ensuring that all context flowing through the system is reliable. You are the keeper of the single source of truth
Engineer the context retrieval backbone: Design and ship versioned, documented API endpoints that GTM agents call to retrieve context - contacts, accounts, engagement history, intent signals, enrichment data - with consistent response contracts, fast latency, and intelligent filtering/boosting/time-decay logic. These endpoints become the foundation for scaling from 10 to 200 agents
Optimize retrieval performance: Continuously tune query logic, filters, boosts, and ranking algorithms so answers are contextually relevant, fast (sub-second latency), and cost-effective. Every agent query should return signal, not noise
Scale “GTM Brain” data sources without breaking agents: Add new sources - product usage, web signals, third-party enrichment, intent platforms - to the context layer without forcing agents to rebuild their logic. Design the system so agents stay stable while context grows richer
Keep context fresh and resilient: Build and operate background jobs that refresh context on schedule, detect and fix failed re-embeddings, backfill deltas, and maintain data pipelines that feed agents with up-to-date intelligence without disruption or drift
Enable agent developers and operators: Create starter queries and templated context patterns that new agents can adopt quickly. Coordinate with the enablement and AI Ops teams to make context accessible to non-engineers
Collaborate on vendor strategy: Help evaluate, integrate, and own relationships with key vendors like N8N, Clay, Rattle - ensuring their data flows cleanly into your context architecture and meets our latency and freshness requirements
Participate in building the GTM data stack of the future: Work with RevOps, and AI Ops to understand how Salesforce, enrichment platforms, N8N, Supabase/Postgres, LLM tools, and analytics integrate - co-creating a scalable, maintainable system that can grow to support 200+ agents without technical debt

What we offer

A great deal of freedom and trust
We believe in flexible working hours
We work virtual-first with several Bloomreach Hubs available across three continents
We organize company events
We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer
People Development Program -- personal development workshops
communication coach available
Leader Development Program
$1,500 professional education budget on an annual basis
Employee Assistance Program -- with counselors

Fulltime

Research Scientist Intern, Multimodal Contextual AI

At Reality Labs, our team brings novel experiences to life on Meta’s AR devices....

Location

United States , Sunnyvale

Salary:

7313.00 - 12134.00 USD / Month

AI Knowledge Optimization Specialist

We are seeking a detail-oriented and tech-curious AI Knowledge Optimization Spec...

Location

United States , North Olmsted

Salary:

60000.00 - 99000.00 USD / Year

Therma-Tru

Expiration Date

Until further notice

Requirements

Bachelor’s degree or 5+ years of experience working with a knowledge base or in knowledge management, technical documentation, or content operations role
Demonstrated ability to structure and optimize content for digital tools or platforms
Strong analytical and critical thinking skills with a focus on structure, logic, and clarity
Experience working with structured content, metadata, or tagging systems
Ability to research and synthesize technical best practices into actionable strategies
Excellent attention to detail and ability to follow complex formatting standards
Comfortable working independently and managing multiple priorities
Proficiency in tools such as Google Workspace, Microsoft Office, or similar

Job Responsibility

Research and apply best practices for optimizing knowledge base content for AI tools, including semantic search, chatbots, and virtual assistants
Analyze and reformat content to improve AI comprehension, retrieval accuracy, and contextual relevance
Collaborate with AI product teams and knowledge managers to define formatting, tagging, and metadata standards
Apply content structures that support natural language processing (NLP), entity recognition, and intent mapping
Test and evaluate how knowledge performs in AI environments and iterate based on findings
Document optimization strategies, formatting guidelines, and AI-readiness standards
Provide guidelines and support to knowledge management team to ensure AI consumption best practices are leveraged as new content is created
Stay informed on trends in AI, machine learning, and knowledge engineering to continuously improve content alignment

What we offer

robust health plans
a market-leading 401(k) program with a company contribution
product discounts
flexible time off benefits
adoption benefits
more
numerous ERGs (Employee Resource Groups)

Fulltime

UX Designer

About the Aladdin UX Design Team: The Aladdin UX Design team researches and desi...

Location

United Kingdom , London

Salary:

Not provided

BlackRock Investments

Expiration Date

February 28, 2026

Requirements

5+ years of UX design experience, creating and evolving software design for digital products and platforms
BFA degree in HCI or a related field
Portfolio samples that show deep UX thinking and sophisticated problem solving
Strong skills in application design, with a deep knowledge of standard UX methodologies
Strong skills in communication, with a proven ability to work with product and engineering to see designs accurately realized
Strong skills in designing for AI enhanced digital experiences
Strong skills in public presentation to groups
Strong skills in performing your own research when required, particularly contextual inquiry to understand user journeys and basic usability testing for validation
Strong skills in Figma and Axure for wireframing and prototyping
Strong skills in quickly learning new concepts and moving decisively on what you’ve learned

Job Responsibility

Conduct user research, including user interviews, surveys, and usability testing to gather insights and identify pain points
Capture user needs and partner requirements via research
Be able to leverage AI tools to improve user research, ideation, and design workflows. Translate AI-driven insights into clear, user-centered design decisions
Rapidly iterate on design ideas and validate with users
Provide detailed wireframes, clickable prototypes, and accompanying specs to implementation teams
Proactively seek feedback from senior designers to ensure your designs are as polished as they can be
Help govern the quality of our software by closely following and evangelizing our standards
Collaborate within the UX team to help define and better our practice
Work autonomously, efficiently, and with a positive personality

What we offer

Retirement investment and tools designed to help you in building a sound financial future
Access to education reimbursement
Comprehensive resources to support your physical health and emotional well-being
Family support programs
Flexible Time Off (FTO)

Fulltime

Sr Engineer, Machine Learning Engineering

The Senior Engineer, Machine Learning plays a pivotal role in advancing AI capab...

Location

United States , Bellevue; Atlanta; Overland Park; Herndon

Salary:

127000.00 - 229100.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Data Science, Statistics, Informatics, Information Systems, Machine Learning, or another quantitative field
1+ year of experience in designing, developing, and deploying large language models (LLMs) and generative AI systems in production environments
5+ years of experience building and maintaining end-to-end ML pipelines, including data ingestion, training, deployment, monitoring, and optimization
3+ years of experience applying MLOps practices and leveraging cloud platforms (AWS, GCP, or Azure) for scalable AI solutions
5+ years of experience collaborating with cross-functional teams (engineering, data science, and product) to deliver AI-powered applications
2+ years of experience in programming languages such as Python/R, Java/Scala, and/or Go, with hands-on experience in frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Build and manage the complete machine learning and generative AI lifecycle, including research, design, experimentation, development, deployment, monitoring, and maintenance
Design, develop, and deploy LLM-based and generative AI models to power scalable and intelligent enterprise applications
Architect, optimize, and maintain retrieval-augmented generation (RAG), prompt orchestration, and contextual reasoning pipelines to support diverse AI use cases
Implement scalable MLOps pipelines for model deployment, performance monitoring, and continuous improvement
Conduct fine-tuning, alignment, and evaluation of LLMs and multimodal models to ensure reliability, efficiency, and fairness
Collaborate with data science, engineering, and product teams to translate business needs into generative AI-driven solutions
Perform benchmarking, evaluation, and optimization of generative models to improve accuracy, latency, and cost efficiency
Research and apply emerging techniques in transformer architectures, multimodal learning, and generative modeling to drive innovation and enhance enterprise capabilities
Ensure secure, ethical, and responsible AI deployment, embedding fairness, transparency, and compliance throughout the model lifecycle
Mentor and guide team members on generative AI frameworks, best practices, and experimentation methodologies

What we offer

Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Medical, dental and vision insurance
Flexible spending account
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays

Fulltime

Research Scientist Intern, Multimodal Generative AI and Robotics

The research intern will work on cutting edge research problems to innovate nove...

Location

United States , Redmond

Salary:

7650.00 - 12134.00 USD / Month

Product Designer

This role is on the Monetization team, a new cross-functional group working to b...

Location

United States , San Francisco

Salary:

207000.00 - 295000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

5+ years of experience designing digital products
Experience with consumer products, ads and monetization is a strong plus
Familiarity with design systems and complex interaction patterns
Experience working closely with engineering, product, and policy partners
Proficiency with Figma and modern design workflows
Have experience shipping large scale software products
Have a portfolio showcasing strong UX, UI, and interaction design skills, with a high bar for quality and craft
Love thinking through complex interaction design problems
Possess impactful communication and storytelling skills
Enjoy tackling ambiguous problems and shaping them into a clear vision

Job Responsibility

Define the vision for what an AI-native advertising experience should be for millions of users
Design advertising formats and interactions that feel additive to the core ChatGPT experience—relevant, contextual, and thoughtfully integrated
Build a new set of advertising products from the ground up in a fast-moving, zero-to-one environment
Partner with product, engineering, research, and policy teams to define new ads surfaces, systems, and workflows from the ground up
Design user-facing controls for ad personalization, data usage, and opt-out flows, as well as intuitive interfaces for advertisers to manage campaigns responsibly
Navigate complex tradeoffs between business needs, user trust, and long-term platform health
Create thoughtful artifacts that help align cross-functional teams and guide execution across both consumer and console experiences
Contribute to a design culture that values clarity, restraint, and responsibility as much as craft

What we offer

Offers Equity
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

Fulltime

Contextual AI Research Engineer

Meta

Location:
United States , Sunnyvale

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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