Director of Engineering, Cohere
Fellow NLP
$270-300k
40 hours per week
Office located in John Street, Toronto
Natural language processing AI platform
Job no longer available
Natural language processing AI platform
501-1000 employees
Job no longer available
$270-300k
40 hours per week
Office located in John Street, Toronto
501-1000 employees
Company mission
To build machines that understand the world, and to make them safely accessible to all.
Role
Who you are
- Bachelor’s Degree in Computer Science, Machine Learning, or a related field
- 3+ years of experience in a senior management role within the AI industry
- 5+ years of Machine Learning research, software design and development experience
- Advanced AI and Machine Learning experience with a wide range of AI techniques, including deep learning, reinforcement learning, and self-supervised learning
- Strong command of NLP techniques, including language representation models (e.g., BERT, GPT), dialogue systems, information retrieval, and information extraction
- Proficiency in industry-standard Large Language Models (LLMs) and architectures, and development of frameworks that include TensorFlow, PyTorch, or similar frameworks for building, training, and deploying language models
- Experience with AWS and Google Cloud computing platforms
What the job involves
- Determining the strategic direction and establishing objectives for the company’s Artificial Intelligence (AI) research and product development operations
- Leading Customer Engagement and Research and developing policies to ensure all technical initiatives are aligned with business goals
- Working with the executive team and partners to prioritize short and long-term investments
- Having responsibility for overseeing all AI research and product development operations that incorporate Natural Language Processing (NLP), including the product lifecycle from conception to deployment and the allocation of personnel financial and material resources
- Defining and directing the development and implementation of a technical roadmap and strategy for AI product development and lifecycle implementation by leveraging insights from customer engagements
- Overseeing engineering research projects on the competitive landscape and industry trends to stay up to date on the latest AI and deep learning papers from leading conferences (NeurIPS, ICLR, etc.)
- Leading cross-functional teams and delegating the authority to subordinate managers to ensure that NLP features meet market needs and create a competitive edge
- Overseeing the analysis of product data to understand usage and find opportunities for improvement
- Leading, developing and controlling AI product development and production schedules. This includes defining the major milestones for projects, identifying critical paths, tracking project progress and adjusting production plans to ensure technical projects are completed on time and within established budget
- Representing the organization at conferences and other public speaking engagements
- Providing direction, leadership and guidance essential to the professional development of the AI product development team under their responsibility
- Managing the recruitment and training of AI product development personnel
Our take
The AI industry biggest stakeholders insist that the next step in enhancing web experiences will be through natural language interactions. While this may be true, only companies with considerable resources can reasonably address the gap needed to bring NLP to the forefront of web integration. Cohere was founded to address this shortfall between NLP development, widespread usage, and the resources required.
Cohere works on building top-of-the-class NLP processing models and software which it makes available to customers through APIs and custom solutions. In a strategic move, the company has partnered with Google Cloud, giving them access to resources that will undoubtedly push the field of NLP forward. This allows Cohere to serve as middlemen by offering a wide range of customers a product built on unmatched technology.
AI is currently a worldwide talking point and so it is no surprise that Cohere has seen rapid development, and raised $270M in a 2023 funding round. The company plans to introduce a dialogue model that would resemble ChatGPT, however, in this case, its technology would be mainly accessible to developers and businesses.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jul 2024
$500m
SERIES D
Mar 2023
$270m
SERIES C
Total funding: $940m
Company benefits
- We cover 100% of premiums across health, dental, vision & travel
- We offer RRSP, 401K, and Pension Scheme contributions
- We offer lunch and fitness studio credits and a quality time fund which can be spent on things like dog walking and laundry services
- We want everyone who contributes to our success to get a ‘piece of the pie’
- Work Remote & PTO
- We know that some people work better at home, so we are remote-first, and sure that all meetings, events, and opportunities are set up for our distributed team
- Every employee at Cohere gets 6 weeks of paid time off & US and Canadian federal holidays, and we provide unlimited sick days
- All new parents (including those who adopt or go through a surrogate journey) are eligible to receive 100% salary for 6 months in Canada, the US, and the UK
- The decision and journey to having kids is different for each person and family. Part of our commitment to diversity is being able to support the widest variety of these scenarios as we can so we offer financial support for egg freezing and IVF for those in the US, Canada and the UK
- Every employee at Cohere receives an annual $2,000 education fund to use as they please
Company values
- We build for a positive future
- We build for the many
- We always stay curious
- Now never stops, and that's pretty fun
Company HQ
Grange Park, Toronto, ON
Articles
Leadership
Aidan Gomez
(CEO)Has a PhD in Computer Science from Oxford University. Previously worked as a Researcher at Google (Brain) and FOR.ai
Ivan Zhang
(CTO)Previous experience working in research and engineering at For.ai, Cortex labs, Pressly and Ranomics.
Nick Frosst
(CTO)Previously worked as a Research Engineer at Google (Brain).
Salary benchmarks
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