CrawlJobs Logo

Product Designer - Realtime AI

meta.com Logo

Meta

Location Icon

Location:
United States , Menlo Park

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

201000.00 - 278000.00 USD / Year

Job Description:

At Meta, we are building Personal Superintelligence to empower every individual with greater agency. The RealTime AI team within MSL is seeking a Principal Product Designer to lead the user experience of embodied, AI-powered agents. In this role, you will operate at the intersection of high-end craft and machine learning research. You will be responsible for translating complex AI capabilities into intuitive, high-fidelity human experiences, ensuring our "RealTime" vision is both technically feasible and resonant with users.

Job Responsibility:

  • Drive the Interaction Framework for Embodied AI: Establish and evolve the design patterns for real-time AI. You will define how AI surfaces across mobile, glasses, and future form factors, balancing proactive assistance with user control
  • Execute Multimodal Design Strategy: Lead the development of scalable interaction systems that integrate voice, vision, and gesture. You will design the feedback loops that make AI feel responsive, low-latency, and contextually aware
  • Define Behavioral UI: Beyond visual components, you will define the "personality" and pacing of AI interactions. You’ll ensure these agents feel human-centric, reliable, and helpful rather than intrusive
  • Strategic XFN Partnership: Partner with Product, ML Research, and Engineering to influence model behavior. You will use design as a lens to help the team prioritize data collection and model tuning based on UX needs (e.g., latency vs. accuracy)
  • Bridge Research and Product: Drive high-velocity prototyping for "zero-to-one" AI features. You will translate raw research (like live world-understanding) into production-ready product visions for the Family of Apps and Reality Labs
  • Design Leadership & Mentorship: Serve as a pillar of the MSL design community. You will unblock complex design challenges for the team, mentor L5/L6 designers, and raise the collective "quality bar" for AI design within the organization

Requirements:

  • Advanced Craft & Systems Thinking: 8-10+ years of experience in product design or creative direction, with a portfolio showcasing the experience solving complex, systems-level problems
  • AI/ML Fluency: Demonstrated experience designing for non-deterministic systems. You understand prompting, model constraints, and how to design for "graceful failure" in AI
  • Strategic Autonomy: Proven track record of navigating extreme ambiguity and driving projects from concept to execution with minimal guidance
  • Prototyping: Proficiency in Figma and a high degree of experience with AI-assisted coding or prototyping tools (e.g., Cursor, Framer, or similar) to demonstrate motion and interaction
  • Human-Centric Approach: A history of using research and signals to balance technical capabilities with human wellbeing and user agency

Nice to have:

  • Conversational UX Experience: Specific experience building digital assistants, chatbots, or virtual beings
  • Cross-Pillar Impact: Experience driving design standards or initiatives that have been adopted across multiple product teams or organizations
  • High-Velocity Shipping: Experience operating in "startup-style" environments within larger companies, shipping quickly under technical constraints
  • Persuasive Communication: Experience representing design at the leadership level (VP/Director), articulating the "why" behind complex design bets
What we offer:
  • bonus
  • equity
  • benefits

Additional Information:

Job Posted:
February 16, 2026

Job Link Share:

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

Briefcase Icon

Similar Jobs for Product Designer - Realtime AI

GenAI Engineer

We are seeking a talented and experienced Generative AI Engineer to lead the dev...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
https://www.inetum.com Logo
Inetum
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proven experience in Machine Learning, Generative AI, or related fields
  • Strong leadership and communication skills
  • Advanced knowledge of integrating Generative AI into cloud infrastructures
  • Ability to design and implement AI strategies at scale
  • Proficiency in Python and relevant ML libraries
  • Experience with LangChain, Semantic Kernel, Hugging Face Transformers
  • Familiarity with Apache Lucene/Solr/LuceneSearch
  • Experience building applications with LLMs on Microsoft Azure (GPT-4o, o3)
  • Use of Azure OpenAI models (GPT-3.5 Turbo, GPT-4)
  • Experience with Azure AI Services (genai-ltst, gpt-4o-mini-realtime-preview)
Job Responsibility
Job Responsibility
  • Independently develop GenAI-based applications tailored to product requirements
  • Implement scalable and high-performance AI solutions
  • Integrate AI applications with existing internal systems
  • Lead and collaborate with cross-functional teams to drive AI strategy and execution
What we offer
What we offer
  • Inetum certified Top Employer Europe 2025
  • Opportunity to grow your expertise
  • Create digital impact quickly, easily and for the good of all
  • Fulltime
Read More
Arrow Right

Research Scientist, MSL, Realtime AI Voice Team

Meta is seeking AI Research Scientists to join the Realtime AI Voice team in Met...
Location
Location
United States , Menlo Park
Salary
Salary:
122000.00 - 181000.00 USD / Year
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
  • PhD degree in Computer Science, Mathematics, or similar quantitative field OR Masters degree in Computer Science, Mathematics, or similar quantitative field and relevant industry experience
  • Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
  • Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …)
  • Experience to communicate complex research for public audiences of peers
Job Responsibility
Job Responsibility
  • Collaborate, and execute on research that pushes forward the state of the art in speech and large language model research
  • Directly contribute to experiments, including designing experimental details, develop reusable code, running evaluations, and organizing results
  • Help identify long-term research goals as well as intermediate milestones
  • Work cross-functionally to translate research breakthroughs into scalable, production-ready solutions for Meta’s conversational AI / product experiences
What we offer
What we offer
  • bonus
  • equity
  • benefits
Read More
Arrow Right
New

Senior AI Engineer

We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
workato.com Logo
Workato
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, or a related field, or equivalent practical experience
  • 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java)
  • Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models)
  • Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models)
  • Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering
  • Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice
  • Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale
  • Expertise in working with use case based SLMs for realtime agent coaching and recommendations
  • Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions
  • Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling
Job Responsibility
Job Responsibility
  • Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures
  • Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary
  • Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale
  • Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems
  • Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents
  • Lead technical initiatives for AI system integration into existing products and services
  • Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models
What we offer
What we offer
  • vibrant and dynamic work environment
  • multitude of benefits they can enjoy inside and outside of their work lives
Read More
Arrow Right

Android Developer

Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.randstad.com Logo
Randstad
Expiration Date
March 08, 2026
Flip Icon
Requirements
Requirements
  • B.Tech in Computer Science/IT or related field
  • 4–5 years as an Android Developer with product-based companies (D2C/consumer electronics preferred)
  • 3+ years of hands-on experience managing Android application development with Compose UI
  • Strong expertise in Android Kotlin, Compose UI, Android Studio, Java, Git
  • Expertise in UI/UX design principles, Material Design guidelines, and responsive layouts
  • Strong grasp of Android app architecture patterns (MVVM, MVI, Clean Architecture)
  • Deep understanding of Android SDK, Android Jetpack components (LiveData, ViewModel, Room, Navigation, WorkManager, etc.)
  • Skilled in Android Compose UI technologies, frameworks, and architecture
  • Deep understanding of Bluetooth, Wi-Fi, and serial communication protocols for sensor integrations
  • Ability to collaborate with backend teams on REST API design and requirements
  • Fulltime
Read More
Arrow Right
New

Senior Software Engineer - Vehicle Engineering and Quality

The Senior Software Engineer for Vehicle Engineering and Quality (VEQ) is respon...
Location
Location
United States , Austin; Warren
Salary
Salary:
Not provided
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, Engineering, or a related field, OR equivalent experience
  • 5+ years of experience delivering enterprise or full stack software solutions using Java / JEE, Python, and preferably Angular
  • 3+ years of experience working with complex SQL queries, functions, and stored procedures, including performance tuning and optimization against large datasets
  • Experience building or supporting data pipelines, ETL/ELT processes, or datacentric applications on distributed or cloud platforms (e.g., Databricks, Spark, or similar)
  • 3+ years of experience with Kubernetes/Docker, Quarkus, and cloud platforms such as Azure, AWS, or GCP
  • Experience working in Agile/SCRUM development methodologies, including backlog refinement, sprint planning, and incremental delivery
  • Handson experience with modern DevOps practices such as Git/GitHub, code reviews, automated builds, automated testing, and CI/CD pipelines (e.g., GitHub Actions)
  • Willingness and demonstrated ability to learn and apply AI concepts, including working with data and APIs that support AI/ML and LLM based solutions
  • Strong problem solving skills with the ability to break down complex technical and data challenges into clear, actionable steps and deliver high quality solutions
  • Excellent written and verbal communication skills with the ability to collaborate with both technical and nontechnical stakeholders
Job Responsibility
Job Responsibility
  • Design, develop, and maintain data driven and AI-enabled applications and services that support Product Development engineering teams
  • Write high-quality, performant SQL (queries, functions, stored procedures) for complex data transformations and modeling across enterprise data platforms (e.g., SQL Server, Oracle, PostgreSQL)
  • Build and optimize data pipelines and workflows in Databricks (DBX) and related tools to support batch and near realtime data processing
  • Develop backend services and APIs in Java and/or Python that integrate data, business rules, and user workflows into robust, reusable components
  • Develop enterprise grade applications using Kubernetes/Docker, Quarkus, Java, Angular, PostgreSQL, and other GM approved tools
  • Partner with data science and AI teams to productionize AI/ML and LLM based solutions, including feature pipelines, inference integrations, monitoring, and continuous improvement
  • Proactively identify and remediate issues related to code quality, patterns, performance, security, and data correctness, using code quality analysis tools and remediation techniques
  • Lead or contribute to solution design, including architecture, patterns, and technology choices aligned with GM standards and Statement of Technical Direction
  • Apply and champion software engineering best practices, including code reviews, automated testing, branching strategies, CI/CD pipelines (e.g., GitHub Actions), observability, and secure coding practices
  • Collaborate with cross-functional teams (product owners, data engineers, architects, business stakeholders) to refine requirements, define acceptance criteria, and deliver incremental value in an Agile/SCRUM environment
What we offer
What we offer
  • This job may be eligible for relocation benefits
  • Fulltime
Read More
Arrow Right

Principal Software Engineer, CoreAI

Join Microsoft’s AI Core team building high performance runtime systems that ser...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of experience in systems programming with strong expertise in C++
  • Proven experience building, deploying, and operating scalable cloud services
  • Strong debugging skills and experience using performance profiling and diagnostic tools
  • Hands-on experience with distributed systems, Kubernetes, and containerized workloads
  • Experience with largescale LLM inferencing infrastructure, including CUDA
  • 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
Job Responsibility
  • Design and implement high performance microservices and runtime components in C++
  • Optimize AI inferencing systems for latency, throughput, cost, and reliability at large scale
  • Debug and resolve complex production issues related to performance, scaling, and service reliability
  • Collaborate with cross-functional partners to integrate model inference pipelines into scalable infrastructure
  • Contribute to state-of-the-art multimodal inferencing systems supporting text, speech, and vision workloads
  • Drive systems level innovations for realtime and batch inferencing efficiency
  • Participate in code reviews and provide technical mentorship to senior and peer engineers
  • Fulltime
Read More
Arrow Right
New

Feature Platform Engineer

We’re looking for builders–intellectually curious, highly entrepreneurial engine...
Location
Location
United States , San Francisco
Salary
Salary:
245000.00 - 345000.00 USD / Year
whatnot.com Logo
Whatnot
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of professional experience developing machine learning systems and algorithms
  • Bachelor’s degree in Computer Science, Statistics, Applied Mathematics or a related technical field, or equivalent work experience
  • 3+ years of software engineering experience building and maintaining production systems for consumer-scale loads
  • 1+ years of professional experience developing software in Python
  • Ability to work autonomously and drive initiatives across multiple product areas and communicate findings with leadership and product teams
  • Experience with operational, search, and key-value databases such as PostgreSQL, DynamoDB, Elasticsearch, Redis
  • Firm grasp of visualization tools for monitoring and logging e.g. DataDog, Grafana
  • Familiarity with cloud computing platforms and managed services such as AWS Sagemaker, Lambda, Kinesis, S3, EC2, EKS/ECS, Apache Kafka, Flink
  • Professionalism around collaborating in a remote working environment and well tested, reproducible work
  • Exceptional documentation and communication skills
Job Responsibility
Job Responsibility
  • Own the feature ingestion and storage infrastructure powering both core business logic and ML models across critical business surfaces–supporting growth, recommendations, trust and safety, fraud, seller tooling, and more
  • Push the boundaries of real-time decisioning, ensuring Whatnot’s ML models respond ever faster to constantly changing marketplace dynamics
  • Design and evolve real-time feature pipelines that feed both our online and offline stores, ensuring sub-second latency, high reliability, and model training fidelity
  • Optimize system performance by managing resource utilization and developing intelligent feature caching strategies
  • Empower scientists to iterate faster by building abstractions, APIs, and developer tools that simplify the development of near-realtime features
  • Stretch beyond your comfort zone to take on new technical challenges as we scale AI across Whatnot’s ecosystem
What we offer
What we offer
  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
  • Home office setup allowance
  • Monthly allowance for cell phone and internet
  • Care benefits
  • Monthly allowance for wellness
  • Annual allowance towards Childcare
  • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement
  • Fulltime
Read More
Arrow Right
New

Engineering Program Manager - Fleet Engineering

Reporting to the Director of Fleet Engineering, your role as an Engineering Prog...
Location
Location
United States , San Francisco; San Jose; Bellevue
Salary
Salary:
226000.00 - 377000.00 USD / Year
lambda.ai Logo
Lambda
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of infrastructure experience
  • 5+ years performing program management for major projects including capital projects or hyperscaler infrastructure deployment
  • Demonstrated experience leading a team of engineers on complex, cross-functional projects in a fast-paced environment
  • Comfortable managing cross functional teams and driving decisions and communications
  • Experience successfully designing and implementing simple, scalable processes that solve complex problems
  • Thrive in ambiguous, fast-paced environments, You bring clarity and order to the rest of the team
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • Proven track record of successfully leading and delivering complex technical projects
  • Exceptional leadership, communication, and interpersonal skills
  • Ability to thrive in a fast-paced, high-pressure environment and manage multiple projects simultaneously
Job Responsibility
Job Responsibility
  • Partner with Fleet Engineering Managers to ensure the teams are aligned on expectations, track progress towards deliverables, providing repeatable & scalable programs
  • Identify opportunities for improvement: ensuring we are capturing the appropriate signals throughout the program and facilitating continuous improvement
  • Work with Fleet Engineering Deployments on executing against tight deadlines while improving process, tooling, automation
  • Collaborate closely with a broad set of stakeholders, including Platform & Infrastructure engineering, Program Management, Product Management, DC Operations, and finance
  • Lead cross-functional engineering teams to deliver complex infrastructure projects from concept to deployment. Define scope, goals, and deliverables
  • plan resources, timelines, risks and ensure execution aligns with organizational objectives
  • Demonstrate technical expertise in infrastructure technologies, including NVIDIA GPUs, hardware troubleshooting, lab methodologies, and automation tools
  • Drive risk management and stakeholder communication by proactively identifying issues, driving realtime and inflight tight timeline projects, and providing transparent updates on progress and milestones
  • Continuously refine project management processes to improve efficiency, collaboration, and cross-functional alignment with product, operations, and security teams. Maintain a customer-focused approach in defining and meeting technical requirements
What we offer
What we offer
  • Generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use
  • Fulltime
Read More
Arrow Right