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

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

New

Principal Software Engineer, CoreAI

Join Microsoft’s AI Core team building high performance runtime systems that ser...

Location

United States , Redmond

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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

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

Full-Stack Engineer, AI Companion

The AI Companion team creates the speech interface to NEO, as well as the physic...

Location

United States , Palo Alto

Salary:

150000.00 - 250000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

4+ years of experience with C++
4+ years of experience with Python
4+ years of experience with Bazel
4+ years of experience with PyTorch
Experience with real‑time or streaming model architectures or systems
Product obsession with quality, performance, and design taste
Ability to take research ideas into production systems that work reliably
Good product taste as pertaining to human‑robot interaction, non‑verbal communication, and speech UX

Job Responsibility

Design the software architecture for real-time multimodal I/O
Design application flows like scheduling chores and triggering autonomous tasks from the voice interface
Optimize the companion stack for enabling seamless interactions with NEO
Make the Companion scalable and reliable while serving models from remote machines

What we offer

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

Fulltime

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in unstructured data ...

Location

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI, Machine Learning, and Data Science, with a strong focus on production-scale AI
Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning techniques
Experience working with OCR, ASR, and TTS applications in real-world deployments
Proven experience deploying AI models in production, with real-world examples of scaled AI applications
Strong understanding of cloud computing, containerization (Docker, Kubernetes), and ML Ops best practices
Proficiency in Python, PyTorch, and ML libraries
Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures
Strong awareness of AI system performance benchmarks (latency, speed, throughput) and ability to optimize models accordingly
Experience working with AI agents, designing real-world intelligent automation solutions beyond just open-source experimentation
Proficiency in transformer-based architectures (BERT, GPT, LLaMA, Whisper, etc.), including pre-training, fine-tuning, and task-specific adaptation

Job Responsibility

Develop and deploy AI models for unstructured data (text, speech, audio, images) with a focus on enterprise-scale performance
Fine-tune, optimize, and deploy LLMs and multimodal models, integrating distributed training, quantization, and pruning techniques for efficiency
Design and implement production-ready AI solutions, ensuring scalability, low-latency inference, and high throughput
Work with AI agents and automation frameworks to create intelligent, real-world AI applications for enterprise clients
Build and maintain end-to-end LLM Ops pipelines, ensuring efficient training, deployment, monitoring, and model updates
Implement vector search and retrieval-augmented generation (RAG) systems for large-scale data solutions
Monitor AI performance using key metrics such as speed, latency, and throughput, continuously refining models for real-world efficiency
Work with cloud-based AI infrastructure (AWS, GCP) and containerized environments (Docker, Kubernetes) to scale AI solutions
Collaborate with engineering, DevOps, and product teams to align AI solutions with business needs and client requirements
Implement data curation pipelines, including data collection, cleaning, deduplication, decontamination, etc. for training high-quality AI models

Senior Data Scientist

We are seeking a Senior Data Scientist with deep expertise in unstructured data ...

Location

Taiwan

Salary:

Not provided

Beyond Limits

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience in AI, Machine Learning, and Data Science, with a strong focus on production-scale AI
Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning techniques
Experience working with OCR, ASR, and TTS applications in real-world deployments
Proven experience deploying AI models in production, with real-world examples of scaled AI applications
Strong understanding of cloud computing, containerization (Docker, Kubernetes), and ML Ops best practices
Proficiency in Python, PyTorch, and ML libraries
Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures
Strong awareness of AI system performance benchmarks (latency, speed, throughput) and ability to optimize models accordingly
Experience working with AI agents, designing real-world intelligent automation solutions beyond just open-source experimentation
Proficiency in transformer-based architectures (BERT, GPT, LLaMA, Whisper, etc.), including pre-training, fine-tuning, and task-specific adaptation

Job Responsibility

Develop and deploy AI models for unstructured data (text, speech, audio, images) with a focus on enterprise-scale performance
Fine-tune, optimize, and deploy LLMs and multimodal models, integrating distributed training, quantization, and pruning techniques for efficiency
Design and implement production-ready AI solutions, ensuring scalability, low-latency inference, and high throughput
Work with AI agents and automation frameworks to create intelligent, real-world AI applications for enterprise clients
Build and maintain end-to-end LLM Ops pipelines, ensuring efficient training, deployment, monitoring, and model updates
Implement vector search and retrieval-augmented generation (RAG) systems for large-scale data solutions
Monitor AI performance using key metrics such as speed, latency, and throughput, continuously refining models for real-world efficiency
Work with cloud-based AI infrastructure (AWS, GCP) and containerized environments (Docker, Kubernetes) to scale AI solutions
Collaborate with engineering, DevOps, and product teams to align AI solutions with business needs and client requirements
Implement data curation pipelines, including data collection, cleaning, deduplication, decontamination, etc. for training high-quality AI models

Senior Data Engineer - AI Focused

At Doctolib, we're on a mission to transform healthcare through the power of AI....

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

Master’s or Ph.D. degree in Computer Science, Data Engineering, or a related field
5+ years of experience in Data Engineering, ideally supporting AI or ML workloads
Strong experience with the GCP data ecosystem
Proficiency in Python and SQL, with experience in data pipeline orchestration (e.g., Airflow, Dagster, Cloud Composer)
Deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search)
Experience designing data architectures for RAG, embeddings, or model training pipelines
Knowledge of data governance, security, and compliance for sensitive or regulated data
Familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning (extract snapshots, change tracking, reproducibility)
Familiarity with containerized environments (Docker, Kubernetes) and CI/CD for data workflows
A collaborative mindset and passion for building the data foundations of next-generation AI systems

Job Responsibility

Ensure high standards of data quality for AI model inputs
Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases
Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models
Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently
Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability
Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption
Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI)
Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets
Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: additional leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of a sport club membership or a creative class
Up to 14 days of RTT
Lunch voucher with Swile card

Fulltime

New

Automotive Technician/Mechanic

Elite Acura is part of the fast growing Group 1 Automotive, a leader in automoti...

Location

United States , Maple Shade

Salary:

16.20 - 52.88 USD / Hour

Group 1 Automotive

Expiration Date

Until further notice

Requirements

Automotive technician or mechanic experience
A Positive & Friendly Attitude
Tools based on your experience
Communication Skills
Basic Computer Skills
Ability to Achieve Targeted Goals
High School Diploma or Equivalent
Must have a Valid Driver’s License

What we offer

Market Leading Pay, based on experience, Plus Bonuses
A Great Working Environment with the Latest Equipment
Structured, Self-paced and paid Training Opportunities Leading to Manufacturer and Group 1 Recognition
Health, Dental & Vision Insurance
Life & Disability Insurance
401(k) with Company Match
Paid Time off
Employee Vehicle Purchase Program
Employee Stock Purchase Plan

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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Location:United States , Palo Alto

Category:IT - Software Development

Contract Type:Not provided

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Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:December 01, 2025

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