Resemble AI | San Francisco Bay Area or Toronto, ON | Full-Time | Full-Stack Engineer, Deep Learning Researcher, Infrastructure Engineer
Resemble AI creates high-quality synthetic voices that capture human emotion. We're a venture-backed high-growth startup that's looking to shake up an entire industry with state of the art AI. Our product changes the way that thousands of brands, media companies, creative agencies, and game studios create speech content. We’re a remote-first team that thrives on flexibility and creativeness. We cover expenses for office space, equipment, and all of the other perks and benefits that make you productive. We also believe that to build an enticing product and solid team is by encouraging innovation is by enabling continuous education. That's why every Friday is a day that you can use to work on anything you want, Resemble-related or not. We're hiring for three roles:
Full Stack Engineer - Can you break the entire stack? You're the right person for this job. Work on our Rails app, with sprinkles of React, and Python for the deep learning. Everything is dockerized, and we use Kubernetes to deploy.
Deep Learning Researcher - Come build large ML models for voice synthesis! We already have the SoTA Speech Synthesis models, so this role is all about thinking outside of the box and running huge experiments on tons of compute. Experience in deep speech fields like TTS and ASR is desirable alongside proficiency in Python and DL/ML frameworks like PyTorch, TensorFlow, and Keras.
Infrastructure Engineer - As an infrastructure engineer at Resemble AI, you would be responsible for leading technical conversations and making decisions with other infrastructure and backend teams. You would work closely with engineers from different parts of the company to build new features and improve internal engineering standards, tooling, and processes. Additionally, you would anticipate and plan for the growth of Resemble AI's platform infrastructure, and design and implement platform solutions that balance resiliency, durability, and performance.
If interested, reach out directly to me: zohaib [at] resemble.ai
ML6 | Machine Learning Engineer, Data Engineer | Python, TensorFlow, Google Cloud Platform | Full-time | Amsterdam, Berlin, Ghent (EU)
We are a Machine Learning consulting company that builds end-to-end Machine Learning solutions. By applying the latest AI research, we keep our clients at the forefront of innovation.
If you are interested check out: https://ml6.eu/resource/
You will mostly work with TensorFlow and Python to solve hard Machine Learning tasks and help to put these into production. As a Premier Google Cloud Service Partner, ML6 has a very strong relationship with Google, providing you options to collaborate and alpha test a lot of their latest ML tools.
We are looking for:
• Machine Learning Engineer
• Data Engineer
• Project Manager
• Business Development Consultant
• Cloud Partner (AWS, Azure)
• Junior Accountant
• Legal Counsel
Apply at: https://ml6.eu/join-us
FAIRTIQ | REMOTE & flexible in CET +/-2h | 80-100% |
FAIRTIQ (https://fairtiq.com/en/) is the leading software solution that disrupts public transport ticketing. We use innovative algorithms to detect user journeys using data collected by mobile sensors. Since the founding in 2016, our innovative, simple solution has been recognised internationally. Thanks to our strategic partnerships, we already cover the entire public transportation system in Switzerland – while also growing internationally, i.e. in Germany, Austria, France and other regions.
Tech stack: * Architecture principles: Microservices, Continuous Integration & Delivery, Domain Driven Design, MVVM, Hexagonal architecture, Zero downtime * Programming languages we use: iOS - Swift, Android - Kotlin/Java, Backend development - Java/Kotlin, Backend scripts/prototypes - Python * Data stores: MongoDB, Redis * API / Messaging: Rest / JSON, RabbitMQ * Machine Learning: scikit-learn, Tensorflow
FAIRTIQ consists of currently ~130 employees and growing.
We are looking for: Squad Lead (Senior Backend Engineer), Senior Backend Engineer and Senior ML Researcher.
You will be working with highly talented colleagues and are offered a flexible & remote work style.
Apply on our careers page: https://fairtiq.com/en/careers