Multimodal Speech Engineer Job at 1X Technologies (Palo Alto)

Multimodal Speech Engineer, AI Companion

As a Multimodal Speech Engineer on the AI Companion Team, you will lead the deve...

Location

United States , Palo Alto

Salary:

150000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

3+ years of experience in speech and audio modeling domains
Experience with multi-modal conversational models (language, audio, vision)
Ability to take open-ended problems in conversation modeling, develop creative solutions, build proof-of-concepts, and scale them to production

Job Responsibility

Design and implement data pipelines for large-scale speech interactions using internal and external datasets
Train speech-to-speech models that incorporate awareness of NEO’s physical form
Create dynamic responses for a wide range of user queries
Synchronize NEO’s speech with physical gestures and body language
Customize NEO’s speech behavior to reflect different personalities

What we offer

Equity
Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Engineering Manager, Multimodal (API)

OpenAI is seeking an Engineering Manager to lead our multimodal API product suit...

Location

United States , San Francisco

Salary:

293000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Proven experience managing engineering teams that deliver complex, high-quality products at scale
Strong technical background and proficiency in modern software engineering practices and system architecture
Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders
Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation
Ability to operate effectively in a fast-paced, ambiguous startup environment

Job Responsibility

Build, mentor, and grow a high-performing engineering team focused on multimodal API products
Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap
Work closely with our research teams to improve our core multimodal models for API customer use cases
Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience
Foster a culture of innovation, continuous improvement, and accountability within your team

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

AI Engineer - Speech & NLP

Interhuman AI is building the next generation of social intelligence infrastruct...

Location

Denmark , København

Salary:

55000.00 - 65000.00 DKK / Year

Life Science Talent

Expiration Date

Until further notice

Requirements

PhD in Machine Learning, Computer Science, or a related field with a focus on speech processing and/or NLP
Track record of building and shipping models
Strong proficiency in Python and deep experience with PyTorch (or JAX/TensorFlow)
Familiarity with the current landscape of speech and multimodal models (e.g., Whisper, audio-LLMs, speech encoders, vision-language models)
You thrive with ambiguity. You can scope your own work, prioritize ruthlessly, and know when to ask for input
Clear communicator—you can explain a complex architecture to both engineers and non-technical stakeholders

Job Responsibility

Design, train, and iterate on speech and language models that extract social and emotional signals from live conversation
Own the full model development lifecycle—from data curation and architecture design through training, evaluation, and production deployment
Build evaluation frameworks and benchmarks that capture the subtleties of human interaction that standard metrics miss
Stay at the frontier of multimodal research and translate relevant advances into our production stack
Collaborate closely with engineering to ensure models meet real-time latency and scalability requirements

What we offer

Competitive salary and meaningful equity in an early-stage, venture-backed company
Direct influence on technical direction—your work shapes the product, not just a feature
A small, focused team where your contributions are visible and impactful from day one
Flexibility on location and working arrangements

Fulltime

Research Intern - GenAI

Appen is seeking Research Interns to support innovative research in Generative A...

Location

Australia , Chatswood, Sydney

Salary:

Not provided

Appen

Expiration Date

Until further notice

Requirements

Postgraduate students in Linguistics, Computer Science, AI, Data Science, or similar disciplines preferred
strong final-year and recent undergraduate candidates in these fields will also be considered
Familiarity with programming languages such as Python, R, or similar tools used in data analysis and machine learning
Experience with data annotation, model evaluation, or prompt engineering
Understanding of multilingual NLP, speech technologies, or agentic AI systems
Strong written communication skills, especially for summarizing research and drafting technical content
Ability to work independently and collaboratively in a remote research environment

Job Responsibility

Conduct literature reviews on topics such as adversarial prompting, multilingual evaluation, and agentic AI
Assist in dataset curation, annotation, and quality assurance for speech, text, and multimodal data
Support model evaluation experiments, including prompt engineering and red teaming
Develop scripts and tools for data analysis, visualization, and automation
Contribute to internal documentation, research reports, and thought leadership content
Participate in team meetings and cross-functional collaborations
Help prepare materials for conferences, publications, and workshops

What we offer

Hands-on experience in applied AI research with real-world impact
Mentorship from experienced researchers and exposure to industry workflows
Opportunities to contribute to publications, datasets, and thought leadership
A collaborative and inclusive research environment

Senior Member of Technical Staff, Multimodal AI

At Cohere, we believe in the power of multimodal AI to revolutionise the way we ...

Location

Salary:

Not provided

Cohere

Expiration Date

Until further notice

Requirements

Exceptional software engineering skills with a proven track record of building robust and scalable systems
Strong command of Python and well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities
Knowledge of distributed training strategies, especially for large-scale multimodal models
Familiarity with autoregressive models, particularly their application in multimodal tasks such as image or video captioning, speech-to-text generation

Job Responsibility

Design and develop cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision
Conduct research and experiments on our advanced compute infrastructure, exploring novel ideas in multimodal representation learning, transfer learning, and more
Collaborate closely with our world-class teams, learning from and contributing to their expertise in the field

What we offer

An open and inclusive culture and work environment
Work closely with a team on the cutting edge of AI research
Weekly lunch stipend, in-office lunches & snacks
Full health and dental benefits, including a separate budget to take care of your mental health
100% Parental Leave top-up for up to 6 months
Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
6 weeks of vacation (30 working days!)

Fulltime

Director, Digital Ecosystem Applications

This position is responsible for the Software Platforms group at the Innovation ...

Location

United States , Belmont

Salary:

240000.00 - 285000.00 USD / Year

Volkswagen AG

Expiration Date

Until further notice

Requirements

10+ years with 2+ years in a technical leadership role
CS, EE, M.S. Engineering (or equivalent) REQUIRED
M.S. Engineering (or equivalent) or PhD PREFERRED
Analytical and conceptual thinking – using logic and reason, creative and strategic
Communication skills – interpersonal, presentation and written
Managing interdisciplinary teams on individual projects
Integration – joining people, processes or systems
Influencing and negotiation skills
Problem solving
Resource management

Job Responsibility

Define the technical mission, architecture strategy, and long‑term platform vision for the In‑Vehicle Computing & Digital Ecosystem Applications team, spanning Android Automotive OS (AAOS), in‑vehicle compute platforms, Software‑Defined Vehicle (SDV) architecture, and AI‑driven cockpit intelligence
Provide technical leadership across the full software stack, including Android Framework, System Services, HAL layers, middleware, connectivity stacks, media/audio frameworks, HMI toolchains, and cloud‑connected AI runtimes within an SDV‑aligned architecture
Lead and mentor engineering teams in platform bring‑up, system integration, performance optimization, and development of AI‑agentic features, multimodal interaction models, and next‑generation speech technologies
Manage multi‑year budgets for platform development, AI integration, SDV‑aligned compute evolution, SoC evaluations, cloud services, and prototype programs
Deliver executive‑level technical reporting on architecture decisions, platform readiness, SDV integration milestones, AI progress, risks, and strategic recommendations
Drive strategic planning for ICC’s infotainment and cockpit portfolio, including AAOS evolution, hybrid cloud/edge AI pipelines, intelligent mobile agent technologies, and SDV‑centric software and compute roadmaps
Align technical roadmaps with global VW Group Innovation teams across infotainment, connectivity, AI/ML, vehicle architecture, cloud services, and SDV platform strategy, ensuring cross‑platform consistency and shared component reuse
Build strategic relationships with SoC vendors, Tier‑1 suppliers, cloud providers, and AI technology partners to influence cockpit compute and SDV platform evolution
Maintain partnerships with Silicon Valley companies specializing in AI runtimes, LLMs, speech, multimodal interaction, and automotive‑grade SDV‑compatible software frameworks
Collaborate with academic and research institutions on AI‑agentic systems, embedded ML, HMI, and in‑vehicle compute architectures aligned with SDV principles

What we offer

Eligibility for annual performance bonus
Healthcare benefits
401(k), with company match
Defined contribution retirement program
Tuition reimbursement
Company lease car program
Paid time off

Fulltime

Senior Software Engineer - Product

Frontier Foundry (F²) is IDC’s bold new innovation engine — a design-led, full-s...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Hands-on experience with Nuance voice technologies or similar platforms (e.g., Azure Speech, Dialogflow, Alexa Skills Kit)
Deep understanding of Voice Access systems, accessibility APIs, and assistive technologies
Strong proficiency in full-stack development, especially client-side application engineering and user-facing experiences
Experience with GitHub Copilot, Copilot Studio, AI Foundry, or equivalent vibe coding/generative AI tools
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
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

Design, build, and deliver high-quality software components aligned to F² charters: interaction models (inking, stylus, display tech), multimodal innovation (sensor fusion, voice/touch interfaces), or AI agents (context-aware, task-oriented)
Integrate and optimize Nuance Conversational AI technologies (e.g., speech-to-text, text-to-speech, NLU) into multimodal experiences
Enhance Voice Access capabilities across platforms, ensuring accessibility, responsiveness, and seamless user interaction
Work across the stack — from UI to backend — with a bias for impact and iteration
Embrace “vibe coding” using AI-assisted tools like GitHub Copilot, Copilot Studio, AI Foundry, and other generative AI tools to reduce boilerplate and drive intelligent test automation
Collaborate with product, design, and partner teams to shape backlog priorities and deliver intuitive, high-impact experiences
Navigate evolving priorities with ingenuity, turning loosely defined ideas into tangible software outcomes
Contribute to architecture discussions, code reviews, and prototyping efforts
Foster a culture of agility, experimentation, and outcome-driven development

Fulltime

New

Lead Applied ML Engineer

Lead Applied ML Engineer, Technology and Digital, FT, 09A-5:30P

Location

United States , Remote

Salary:

144000.00 - 186000.00 USD / Year

Baptist Health

Expiration Date

Until further notice

Requirements

Masters degree in Computer Science/Machine Learning or a minimum of 10 years equivalent professional experience
Must have experience in GCP
Proven team leadership background in machine learning and artificial intelligence with expertise in one or more of: computer vision, NLP, speech, optimization, deep learning, reinforcement learning, time series, generative models, signals, and distributed systems
Strong proficiency in ML modeling frameworks
Strong expertise in overall software development approach
Significant leadership experience in building end to end data systems
Advanced software engineering skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions
Proficiency in one or multiple machine learning languages (ex: Python) & development environments such as AWS Sagemaker
Minimum Required Experience: 10 years

Job Responsibility

Lead AI Implementation: Drive the end-to-end development of production-grade AI solutions, from LLM orchestration and backend APIs to interactive UI prototypes and automated deployment pipelines
Full-Stack Ownership: Take accountability for the technical lifecycle of AI products, ensuring they are scalable, secure, and seamlessly integrated into healthcare workflows
GenAI & Advanced Modeling: Develop and deploy advanced Generative AI applications using RAG patterns and model fine-tuning
architect orchestration layers and agentic workflows to ensure vendor-agnostic, autonomous problem-solving
Full-Stack Development & Prototyping: Build robust Python-based backends and scalable APIs
create interactive user interfaces (POCs) to visualize AI reasoning and gather clinical stakeholder feedback
Data & Infrastructure Integration: Integrate AI solutions with cloud data warehouses (e.g., Snowflake) and manage containerized deployments (Docker) via automated CI/CD and GitOps pipelines (GitLab, ArgoCD) on GCP
Governance, Security, & Monitoring: Engineer automated guardrails for PII/PHI masking and risk mitigation
implement observability tools to monitor model drift, hallucination rates, and token-based cost metrics (FinOps)
Safety & Interoperability: Validate clinical logic using advanced evaluation frameworks (e.g., RAGAS) and ensure seamless EHR integration through healthcare data standards like FHIR and HL7

Fulltime

Multimodal Speech Engineer

1X Technologies

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 01, 2025

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