Audio Inference Engineer, Model Efficiency
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
15 days ago
Vacancies:
1 Vacancy
Job Summary
Who are we
Our mission is to scale intelligence to serve humanity. Were training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation semantic search RAG and agents. We believe that our work is instrumental to the widespread adoption of AI.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do whats best for our customers.
Cohere is a team of researchers engineers designers and more who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.
Join us on our mission and shape the future!
Why this role
Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team you will work on advancing core audio model serving metrics including latency throughput and quality by diving deep into our systems identifying bottlenecks and delivering creative solutions for audio processing and streaming workloads.
Youll collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment with a special focus on real-time and streaming audio inference.
Please Note: We have offices in Toronto Montreal San Francisco New York Paris Seoul and London. We embrace a remote-friendly environment and as part of this approach we strategically distribute teams based on interests expertise and time zones to promote collaboration and flexibility. Youll find the Model Efficiency team concentrated in the EST and PST time zones these are our preferred locations.
You may be a good fit for the team if you have:
Significant experience developing high-performance audio or machine learning inference systems.
Proficiency with programming languages such as C and Python.
Hands-on experience with deep learning models for audio speech or language applications.
A bias for action and a strong results-oriented mindset.
It is a big plus if you also have considerable experience with:
GPU programming low-level system optimization model parallelization techniques over multiple GPUs
Have experience with duplex real-time streaming architectures.
Internals of machine learning frameworks for audio (such as PyTorch TensorFlow or specialized audio libraries).
Have experience with inference framework like vLLM SGLang Tensort-LLM or custom distributed inference systems
Sequence modeling (e.g. transformers for audio/speech) and end-to-end audio pipeline optimization
If some of the above doesnt line up perfectly with your experience we still encourage you to apply!
We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process please submit an Accommodations Request Form and we will work together to meet your needs.
Full-Time Employees at Cohere enjoy these Perks:
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!)
Key Skills
- Python
- C/C++
- Fortran
- R
- Data Mining
- Matlab
- Data Modeling
- Laboratory Techniques
- MongoDB
- SAS
- Systems Analysis
- Dancing
About Company
Deploy multilingual models, advanced retrieval, and intelligent agents securely and privately — without the risks of ordinary AI.
