AI Research Scientist - Voice AI Team Job at Meta (Menlo Park)

AI Research Scientist - Voice AI Team, Meta Superintelligence Labs

Meta is seeking AI Research Scientists to join the Realtime AI Voice team in Met...

Location

United States , Menlo Park, CA +2 locations

Salary:

184000.00 - 257000.00 USD / Year

Research Scientist, MSL, Realtime AI Voice Team

Meta is seeking AI Research Scientists to join the Realtime AI Voice team in Met...

Location

United States , Menlo Park

Salary:

122000.00 - 181000.00 USD / Year

New

Head of AI Data Science, Intelligence Ventures

The Head of AI Data Science serves as the head of AI research and leader of data...

Location

United States , New York

Salary:

263200.00 - 393800.00 USD / Year

Spectrum

Expiration Date

Until further notice

Requirements

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks
experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners
comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams
experience recruiting and developing senior ML talent in competitive markets

Job Responsibility

Direct the research, design, and training of the platform's proprietary transformer-based behavioral embedding model — a multi-entity architecture that encodes household behavior across multiple signal sources into dense, privacy-safe vector representations. Own the full model development lifecycle from architecture decisions and training methodology through validation, deployment, and ongoing iteration as new signal sources and use cases are introduced
Lead the design and build of the platform's Feature Store — translating embedding representations into interpretable, actionable behavioral signals including purchase propensities, category interest intensities, lifestyle affinities, and behavior velocity signals. Oversee the outcome anchoring methodology that trains predictive models against external third-party datasets to produce validated, commercially relevant intelligence outputs across target verticals
Partner with the Head of Technology and external development partners to ensure the AI/ML architecture is production-grade, built for household-scale throughput, and integrated cleanly into the platform's cloud-native infrastructure. Establish model evaluation frameworks, quality benchmarks, and MLOps practices that enforce a strong bias toward production-deployed, commercially validated outputs — not just research-quality results
Serve as the platform's primary AI research voice in external partner conversations — including technical engagements with cloud AI platforms, frontier model teams, and enterprise data partners — articulating the platform's embedding architecture, signal differentiation, and model enrichment value proposition to sophisticated technical counterparts. Contribute to the development of packaged intelligence products such as behavioral demand indices, persona clusters, and predictive propensity scores
Establish the platform's responsible AI framework — including bias testing protocols for behavioral embeddings, model documentation standards, and privacy-preserving ML techniques — ensuring all intelligence products meet ethical and regulatory standards for consumer behavioral data
Build and lead a team of data scientists and ML researchers capable of competing with talent from the world's leading AI research and applied ML organizations. Establish the team's research agenda, hiring priorities, and culture of rigorous experimentation — maintaining a clear bias toward applied, production-oriented work while preserving the intellectual ambition required to stay ahead of a rapidly evolving AI landscape

Fulltime

Distinguished Scientist

In this role, you will define and drive the technical vision for long-horizon, s...

Location

United States

Salary:

270700.00 - 432300.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

A PhD in Computer Science, Electrical Engineering, or a related field—or equivalent experience—with emphasis in areas such as foundational LLMs, agentic AI, reinforcement learning, AI planning, or natural language processing
10+ years of hands-on experience building and deploying large-scale AI systems, including at least several years focused on agent-based systems, multi-agent collaboration, or long-horizon conversational assistants
Deep, current expertise in generative and agentic AI, including multimodal foundation models, transformers, advanced reasoning models, and post-training techniques (SFT, DPO, RLHF/RLAIF, preference learning, etc.)
A track record of leading ambiguous, cross-functional initiatives from concept to production—framing the problem, shaping data strategy, designing models and evaluation, and iterating based on live metrics and user feedback
Demonstrated impact in the research community through publications at top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR) and/or widely used open-source contributions in LLMs, agentic frameworks, or related areas
Experience designing evaluation and supervision frameworks for long-horizon agents, ideally in regulated or high-stakes domains such as finance, healthcare, or large-scale marketplaces, with an emphasis on safety, fairness, and trust
Strong technical leadership skills: you mentor senior scientists and engineers, create clarity amid ambiguity, and build alignment across research, engineering, product, and leadership stakeholders
Excellent communication skills with the ability to distill complex ideas into clear narratives for executives, cross-functional partners, and external audiences

Job Responsibility

Own the end-to-end research and technical strategy for long-horizon agentic experiences across shopping, financing, and professional workflows, in close partnership with the Agentic AI, data platform, and product teams
Design and advance LLM post-training and evaluation methods (e.g., SFT, preference learning, RLHF/RLAIF, long-context modeling) tailored to supervised, high-stakes journeys in a complex, regulated domain
Architect systems that combine persistent memory, tool use, and multi-agent collaboration to deliver consistent, context-rich guidance over long timelines
Translate Zillow’s heterogeneous data (text, voice, behavioral, and structured real-estate/transaction data) into agent-ready knowledge and signals, in partnership with data and platform teams
Collaborate with product and design to define success metrics, evaluation frameworks, and experiment plans for agentic experiences, including human-in-the-loop supervision and safety reviews
Operate as a senior IC with the option to lead a small pod (up to ~5 scientists/engineers) focused on long-horizon agentic systems, mentoring principal-level talent and setting a high technical bar
Represent Zillow’s work externally through publications, talks, open-source contributions, and thoughtful engagement with the research community, helping position Zillow as a destination for top agentic AI talent

What we offer

competitive base salary
eligibility for equity awards

Fulltime

Product Design Lead - Manager

The Dock is Accenture’s flagship R&D and Global Innovation Center, based in Dubl...

Location

Ireland , Dublin

Salary:

Not provided

Accenture

Expiration Date

Until further notice

Requirements

Experience with the creation and delivery of digital products and services
working in agile teams and transferring proofs of concept for implementation
strategic skills in managing cross-functional design teams
solve end-to-end design problems
ownership for all design deliverables
communicate design concepts for digital products through various artefacts
explore and push the boundaries of design by working with emerging technologies such as Generative AI, voice, and mixed reality
navigate complex internal and external stakeholder environments
support and execute design research activities
synthesise research to uncover insights and design rapid prototypes

Job Responsibility

Plan and execute design activities on projects
work with sponsors and senior stakeholders to set the vision
work with other subject matter experts to develop a holistic understanding of people, technology, data and their interdependencies
define concepts, strategies and digital interface to design artefacts
collaborate closely with software engineers, data scientists and subject-matter experts
manage cross-functional design teams
solve end-to-end design problems
ownership for all design deliverables
communicate design concepts through sketches, wireframes, navigation flows, information architecture, final UI designs and interactive prototypes
explore and push boundaries of design with emerging technologies

Fulltime

Principal Technical Program Manager - Quantum

Denmark is building one of the world's most powerful quantum computers — and Mic...

Location

Denmark , Copenhagen

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Deep experience in partner management, business development, or ecosystem development within deep technology sectors (quantum computing, semiconductors, photonics, advanced computing, or adjacent fields)
Demonstrated experience working across multiple countries and time zones with distributed engineering and product teams
Technical fluency in quantum computing, photonics, neutral-atom systems, semiconductor physics, or related deep tech domains — sufficient to engage credibly with scientists and engineers, though a PhD is not required
A track record of building something from 0→1: a new market entry, a new strategic partnership, a new program in an organization that didn't exist before you arrived
Excellent written and verbal communication skills. Fluent in English. Danish or another Scandinavian language is preferred
Direct experience in the Nordic technology or research ecosystem
Experience working at or partnering with national laboratories, quantum startups, government R&D agencies, or public-private innovation programs
Familiarity with Microsoft's technology stack — Azure, AI services, developer tools — and how enterprise cloud platforms integrate with emerging hardware
Background in product management, program management, or technical business development at a large technology company
Comfort operating with high autonomy, limited local infrastructure, and ambiguity — the kind of environment where you set the agenda rather than follow one

Job Responsibility

Serve as Microsoft's primary point of contact for QuNorth, building a trusted working relationship with CEO and leadership team
Lead regular business reviews, executive alignment sessions, and joint planning cycles that keep both organizations focused and accountable
Own escalation management: identify blockers early, route them to the right teams, and drive resolution across both organizations with urgency and clarity
Build Microsoft's quantum ecosystem presence in Denmark and across the Nordic region — not by following a playbook, but by writing one
Work with QuNorth in jointly put together winning playbook in making Denmark, a Quantum center of excellence across Nordics, where not only Quantum enthusiasts converge to but also commercial companies and users
Engage key government stakeholders and funding bodies, to align QuNorth and Microsoft's quantum efforts with national and regional priorities
Develop and deepen relationships with leading Nordic universities and research centers — DTU, the Niels Bohr Institute, KTH Royal Institute of Technology, Aalto University, Chalmers University of Technology — as pathways for talent, research collaboration, and technology adoption
Identify and cultivate partnerships with emerging Nordic quantum companies (including start ups and existing quantum companies etc) to expand Quantum's partner network and regional relevance
Receive, assess, and prioritize technical challenges surfaced by QuNorth — translating partner needs into actionable requests for Microsoft engineering teams
Route problems to the right people across Microsoft's quantum labs in Lyngby, engineering teams in Redmond and Prague, and the broader Microsoft Quantum organization — and make sure they don't get lost in transit

What we offer

Competitive compensation
comprehensive benefits
stock awards
pension contributions
career development resources

Fulltime

Senior Brand Strategist

Microsoft AI is the superintelligence lab at Microsoft — a global network of res...

Location

United States , Mountain View

Salary:

106400.00 - 222600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

6+ years work experience at a branding agency or with product marketing, brand building, and/or strategy development OR equivalent experience
6+ years brand/creative strategy and communications/connections strategy experience, which could include brief writing and/or managing strategy on the corporate or agency side
6+ years of communications/connections planning experience building integrated campaigns that bring brands into culture
Strong insight into the AI discourse, tensions and implications across various parts of culture (media, arts, etc.)
Genuine technical fluency in AI/ML: you can read a research paper, follow a model architecture conversation, and know enough to ask the right questions that inform how we go to market
Comfort operating in ambiguity: this role will define its own shape, and that's a feature, not a bug
Luxury, lifestyle, or entertainment experience preferred
6+ years experience managing projects (e.g., internal stakeholder management, timelines, prioritization, road mapping)
A strategic mindset, able to balance short- and long-term goals, and to translate business objectives into brand solutions
Effective communication and presentation skills, able to articulate and justify ideas and recommendations with clarity and confidence

Job Responsibility

Partner with key stakeholders across MAI to lead or contribute to building the foundational Microsoft AI brand strategy and expression, with a specific focus on how MAI's research and scientific, humanist identity that differentiates against other labs
Steward relationships across AI product leads, marketing, and MAI Creative Studio to create a coherent portfolio narrative of MAI research and scientific initiatives that fit together within a larger story
Lead or contribute to workshops and training to educate teams on Microsoft AI's brand strategy and expression
Partner with MAI product leads and MAI brand leads - Writers, Designers, and Project Management - to translate MAI's research and scientific portfolio of initiatives into semi-annual cultural calendars for MAI brand moment campaigns based on product roadmap
Partner with researchers, scientists, and product leads to translate technical milestones into audience-appropriate narratives that drive understanding, trust, and cultural relevance
Proactively anticipate major research moments and model launches, building communications plans that sequence messaging across internal and external channels
Serve as a connective tissue between MAI Creative Studio, product marketing, and research teams — ensuring brand voice, scientific credibility, and creative expression are never in conflict
Guide brief writing, provide direction to cross-group teams, and develop strategies to engage cross-company stakeholders
Partner with UXR and Research & Insights teams to track brand perceptions and reporting through various types of studies (e.g., qualitative, quantitative) to support broader MAI strategy and initiatives
Partner with internal teams and commission studies with agencies to support research and insight identification as needed

What we offer

Certain roles may be eligible for benefits and other compensation

Fulltime

Software Engineer

The Customer Experience AI (CxAI) group within Dynamics 365 is pioneering the ne...

Location

United States , Redmond

Salary:

84200.00 - 165200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Designs, develops, and deploys AI/ML models for customer interaction scenarios including chatbots, voice agents, and sentiment analysis
Integrates LLMs, Retrieval-Augmented Generation (RAG), and advanced analytics into customer service workflows
Collaborates with data scientists, AI researchers, and engineering teams to deliver innovative solutions
Ensures high reliability, scalability, and adherence to responsible AI practices
Monitors and improves model performance and customer outcomes
Troubleshoots live site issues and optimize AI-driven workflows
Works closely with Program Managers and cross-functional teams to deliver customer-centric features

Fulltime

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AI Research Scientist - Voice AI Team

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