Machine Learning Industry Post-Doc
Palo Alto
Cohere
Cohere provides industry-leading large language models (LLMs) and RAG capabilities, tailored to meet the needs of enterprise use cases that solve real-world problems.
Who are we?We’re a small, diverse team working at the cutting edge of machine learning. At Cohere, our mission is to build machines that understand the world and to make them safely accessible to all. Language is at the crux of this, but it can be difficult and expensive to parse the syntax, semantics, and context that all work together to give words meaning. The Cohere platform provides access to Large Language Models through its APIs that read billions of web pages and learn to understand the meaning, sentiment, and intent of the words we use in a richness never seen before.
We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
Why this role?Cohere is dedicated to lowering the barriers to entry to machine learning research and supporting a community of independent research talent across the world. We are committed to collaborating widely and empowering independent researchers around the world.
Our open culture and our emphasis on academic collaboration and decentralized research that empowers collaborators across the world offer a unique chance to grow as a researcher and impact the experience of others.
The Machine Learning Industry Post-Doc role is a 1-year contract for post-docs, professors on sabbatical or independent researchers with equivalent experience that are excited about collaboratory research within an industry that pushes forward the frontier of what is possible with machine learning. You have an independent high impact research agenda and are excited to work with researchers from all over the world. You actively contribute to the wider research community by sharing and publishing your findings and code. Your work evidences a consideration for the societal and ethical implications of machine learning. You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who want to join the machine learning community.
Please Note: We have offices in Toronto, Canada, and Palo Alto, USA, but embrace being remote-first! There are no restrictions on where you can be located for this role.
We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
Our Perks: 🤝 An open and inclusive culture and work environment 🧑💻 Work closely with a team on the cutting edge of AI research 🍽 Free daily lunch 🦷 Full health and dental benefits for employees based in Canada and the US, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto and Palo Alto and coworking stipend✈️ 6 weeks of vacation and shared Canada/US holidays
#LI-Remote
We recently raised our Series B, signed a multi-year partnership with Google Cloud, and we are focused on bringing our technology to market. We will partner with customers so they can build natural language understanding and generation into their products with just a few lines of code.
We’re ambitious — we believe our technology will fundamentally transform how industries interact with natural language. And we have the technical chops to back it up - Cohere’s CEO, Aidan Gomez, is a co-author of the groundbreaking paper “Attention is all you need”, (over 23k citations) and was previously part of Google Brain. Our entire technical team is world-class.
We are focused on creating a diverse and inclusive work environment so that all of our team members can thrive. We welcome kind and brilliant people to our team, from wherever they come.
Why this role?Cohere is dedicated to lowering the barriers to entry to machine learning research and supporting a community of independent research talent across the world. We are committed to collaborating widely and empowering independent researchers around the world.
Our open culture and our emphasis on academic collaboration and decentralized research that empowers collaborators across the world offer a unique chance to grow as a researcher and impact the experience of others.
The Machine Learning Industry Post-Doc role is a 1-year contract for post-docs, professors on sabbatical or independent researchers with equivalent experience that are excited about collaboratory research within an industry that pushes forward the frontier of what is possible with machine learning. You have an independent high impact research agenda and are excited to work with researchers from all over the world. You actively contribute to the wider research community by sharing and publishing your findings and code. Your work evidences a consideration for the societal and ethical implications of machine learning. You have a strong track record of mentorship and are excited to collaborate with independent researchers around the world who want to join the machine learning community.
Please Note: We have offices in Toronto, Canada, and Palo Alto, USA, but embrace being remote-first! There are no restrictions on where you can be located for this role.
As a Machine Learning Industry Post-Doc, you will:
- Contribute novel research to the machine learning community and peer-reviewed publications
- Advance the state-of-the-art in NLP and proactively contribute to open-source projects
- Mentor independent researchers around the world
You may be a good fit if you have:
- Demonstrated ability to design and execute a research agenda
- Research and engineering experience demonstrated by past work experience, open-source contributions, and publications at peer-reviewed AI conferences
- Experience collaborating widely on research projects across institutions
We welcome applicants of all kinds and are committed to providing both an equal opportunity process and work environment. We value and celebrate diversity and strive to create an inclusive work environment for all.
Our Perks: 🤝 An open and inclusive culture and work environment 🧑💻 Work closely with a team on the cutting edge of AI research 🍽 Free daily lunch 🦷 Full health and dental benefits for employees based in Canada and the US, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada and 12 weeks in the US🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto and Palo Alto and coworking stipend✈️ 6 weeks of vacation and shared Canada/US holidays
#LI-Remote
Tags: APIs Engineering GCP Google Cloud Machine Learning NLP Research
Perks/benefits: Career development Conferences Flex hours Flex vacation Health care Home office stipend Parental leave
Regions:
Remote/Anywhere
North America
Country:
United States
Job stats:
11
1
0
Category:
Machine Learning Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs