2,155,665open jobs
138,709companies
240,829added this week
Browse all
Salary
$180k – $350k per year
Location
In office (San Francisco)
Visa
Sponsorship offered in the posting · H-1B filings in 12 months: 18 · for this role: 15
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Dec 12, 2024. Cartesia scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Cartesia is an artificial intelligence research and technology company that builds real-time, low-latency generative voice models for interactive applications. Founded by Stanford researchers, the company utilizes State Space Models (SSMs) to power its flagship text-to-speech platform, Sonic, which enables sub-second voice synthesis, instant voice cloning, and emotional expression across dozens of languages. By providing real-time speech generation and voice agent infrastructure, Cartesia allows developers and enterprises to power conversational AI systems, virtual assistants, and customer service platforms.

About Cartesia

Our mission is to architect AI that learns from and interacts with the world like humans do.

We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training efficient, large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences.

We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI.

Your Impact

Conduct groundbreaking research in neural network architecture design to advance the state-of-the-art in alternative architectures (e.g., state space models, efficient transformers, hybrid architectures).

  • Design novel architectures that improve model quality, inference efficiency, and adaptability across diverse deployment environments, from cloud to on-device.

  • Explore and develop capabilities such as statefulness, long-range memory, and innovative conditioning mechanisms for enhancing model expressiveness and generalization.

  • Investigate how architectural decisions impact model trade-offs, including scalability, robustness, latency, and energy efficiency.

  • Develop new frameworks and tools to evaluate architectural innovations, benchmarking performance across research and production settings.

  • Collaborate with cross-functional teams to translate architectural research into scalable and impactful systems for real-world applications.

What You Bring

  • Deep expertise in architecture design, with experience in researching or deploying advanced architectures (e.g., state space models, transformers, RNN variants, CNN variants).

  • Strong understanding of how architectures interact with system constraints, including deployment in cloud environments or on-device.

  • Proficiency in designing architectures that balance quality, efficiency, and adaptability across different use cases and modalities (e.g., vision, audio, text).

  • Familiarity with generative modeling paradigms like autoregressive and diffusion models, and designing capabilities such as statefulness and conditioning in deep learning models.

  • A proven research track record in top-tier ML/AI venues (e.g., NeurIPS, ICML, ICLR, CVPR) or demonstrable contributions to state-of-the-art architectures.

  • Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement.

  • Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance.

Nice-To-Haves

  • Prior research or publications in state space models, efficient Transformers or other alternative architectures.

  • Research or practical experience in designing architectures for multi-modal systems.

  • Early-stage startup experience or a track record of rapid innovation in R&D environments.

Note: Cartesia participates in E-Verify and will provide the federal government with Form I-9 information to confirm employment eligibility after hire.

More Details

In-office policy: We’re an in-person team based out of offices in San Francisco, London and Bangalore. We love being in the office, hanging out together, and learning from each other every day.

Visa sponsorship: We provide visa sponsorship support and assess each circumstance on a case-by-case basis. However, visa sponsorship is dependent on many factors, including the role you are applying for, and the location you are going to be based, and so we can't always guarantee success. Your Recruiter will work with you to understand your visa sponsorship needs from the first call.

We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality or design along the way.

We support each other. We have an open & inclusive culture that’s focused on giving everyone the resources they need to succeed.

Our Benefits (US Employees Only)

Compensation Competitive base salary alongside attractive equity package.

Health Insurance Fully covered medical insurance along with dental and vision for you and your family.

Parental Leave 9 weeks paternity & 12 weeks maternity leave

401(k)

Commuter Allowance A monthly stipend to help you get to and from the office.

Flexible PTO Take as much time as you need to recharge your batteries.

Meals & Snacks Lunch, dinner and plenty of snacks, provided daily.

Your own personal Yoshi

Our Commitment to Equal Opportunity

Cartesia is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,155,665 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

AI/ML
Remote, many countries
Similar stack
Same company
San Francisco
$128k – $193k per year · In office · Full-Time · Mossville
Python
TypeScript
C
C++
MATLAB
C
Embedded C
MATLAB
Simulink
AI/ML
LangChain
Fine-tuning
Prompt Engineering
AI Agents
Llama
Mistral
LLM
RAG
OpenAI
Anthropic
Agentic Workflows
Mobile
Offline-First
DevOps
CI/CD
Apply
$170k per year · In office · Full-Time · United States
Java
Java
Spring Boot
Databases
Apache Kafka
AI/ML
Prompt Engineering
Human-in-the-Loop
DevOps
Rest API
CI/CD
AWS
Configuration Management
Apply
$69k – $158k per year · In office · Public Trust · Full-Time · 6+ years exp · Bachelor's Degree · McLean
Python
JavaScript
TypeScript
Python
Flask
FastAPI
Databases
Weaviate
Pinecone
FAISS
AI/ML
AutoGen
LangChain
OpenCV
Model Context Protocol
Scikit-learn
TensorFlow
PyTorch
CrewAI
OpenAI
Feature Store
Human-in-the-Loop
Machine Learning
Frontend
Vue.js
GraphQL
Angular
React.js
DevOps
Rest API
GCP
OpenTelemetry
Azure
CI/CD
AWS
Docker
Kubernetes
Apply
$165k – $260k per year · In office · 2+ years exp · Master's Degree · New York
AI/ML
DeepSpeed
Fine-tuning
Multimodal AI
Function Calling
NLP
PyTorch
RAG
Hugging Face
Machine Learning
Apply
$180k – $230k per year · In office · TS/SCI · 8+ years exp · PhD · Arlington
Python
Java
C++
AI/ML
Cursor
LLM
Time Series
OpenAI Codex
Edge AI
DevOps
CI/CD
Git
Defense
Radar Signal Processing
Apply
$37k – $42k per year · Remote (EAEU) · Moscow
Python
Python
FastAPI
Databases
Redis
MinIO
AI/ML
DVC
Polars
Weights & Biases
Dagster
Jupyter Notebook
MLFlow
Triton Inference Server
Vertex AI
Kubeflow
Pandas
Ray
Feast
Amazon SageMaker
TorchServe
Feature Store
DevOps
Terraform
GCP
Prometheus
Pulumi
VictoriaMetrics
Yandex Cloud
SLURM
Azure
CI/CD
Git
AWS
Docker
Kubernetes
Grafana
Argo Workflows
kubectl
AWS Lambda
Amazon EC2
Amazon S3
Linux
Cybersecurity
Keycloak
Apply
Remote (EAEU) · Full-Time · 4+ years exp · Moscow
Python
SQL
AI/ML
Spark
Apply
Remote (EAEU) · Bachelor's Degree · Moscow
Python
SQL
AI/ML
LLM
Machine Learning
Apply
Remote (EAEU) · 4+ years exp · Moscow
Python
SQL
Python
Flask
FastAPI
Databases
ClickHouse
Google BigQuery
AI/ML
CatBoost
Jupyter Notebook
MLFlow
XGBoost
Scikit-learn
SciPy
LightGBM
TensorFlow
NumPy
PyTorch
Feature Store
Machine Learning
DevOps
Rest API
gRPC
Docker
Kubernetes
Analytics
ETL/ELT
Apply
≈ $68k – $125k per year (Estimated) · In office · 5+ years exp · Bachelor's Degree · Toronto
Python
C#
C#
.NET
AI/ML
Hadoop
Spark
TensorFlow
PyTorch
Machine Learning
DevOps
Azure
Git
AWS
Docker
Management
Agile
Apply
In office · Nicosia
AI/ML
PyTorch
Apply
≈ $13k – $24k per year (Estimated) · In office · Athens
AI/ML
PyTorch
Apply
≈ $13k – $24k per year (Estimated) · In office · Athens
AI/ML
PyTorch
Apply
≈ $13k – $24k per year (Estimated) · In office · Athens
AI/ML
PyTorch
Apply
$200k – $350k per year · Equity · In office · Full-Time · San Francisco
Databases
Databricks
AI/ML
Ray
DevOps
Kubernetes
Apply
$180k – $350k per year · Equity · In office · Full-Time · San Francisco
Databases
Databricks
AI/ML
Fine-tuning
RLHF
Multimodal AI
Post-training
Human-in-the-Loop
Machine Learning
Apply
Researcher, Evals 1 year ago
$220k – $350k per year · Equity · In office · Full-Time · San Francisco
Databases
Databricks
AI/ML
Multimodal AI
Apply
$200k – $350k per year · Equity · In office · Full-Time · San Francisco
Databases
Databricks
AI/ML
Multimodal AI
Synthetic Data
Post-training
Pre-training
TPU
Voice Agents
Apply
Inference Engineer 2 years ago
$180k – $250k per year · Equity · In office · Full-Time · San Francisco
Databases
Databricks
AI/ML
vLLM
Multimodal AI
SGLang
Transformers
CUDA
Triton
Machine Learning
Apply
$350k per year · Hybrid · 6+ years exp · Bachelor's Degree · San Francisco · New York
AI/ML
Reinforcement Learning
JAX
Multimodal AI
PyTorch
Anthropic
TPU
Interpretability
DevOps
GCP
AWS
Docker
Kubernetes
Apply
≈ $214k – $414k per year (Estimated) · In office · 4+ years exp · Bachelor's Degree · San Francisco
AI/ML
Diffusion Models
Computer Vision
NLP
Transformers
Machine Learning
Apply
≈ $234k – $450k per year (Estimated) · In office · 3+ years exp · Bachelor's Degree · San Francisco
AI/ML
Time Series
Machine Learning
Apply
$32k – $46k per year · In office · High School Diploma · San Francisco
Apply
$108k – $140k per year · In office · Internship · PhD · Palo Alto · San Francisco
Python
SQL
AI/ML
AI Agents
Agentforce
Analytics
A/B Testing
Apply
See all jobs
This is one of many
2,155,665 more open roles from verified company boards, updated every day.