Frontend Software Engineer
Top Benefits
About the role
Who you are
- Extremely strong software engineering skills
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance
- Prior experience building front-end visualization systems and dashboards
- Familiarity with ML systems evaluations
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX)
- Excellent communication skills to collaborate effectively with cross-functional teams and present findings
- One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
- If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
What the job involves
- As an Evaluation Frontend Software Engineer, you will play a key role in helping us make modelling decisions based on experimental outcomes for our large language models (LLMs)
- Your primary focus will be on building tools to enable easy visualization and analysis of model evaluations which are stored in a central database
- You will work closely with cross-functional teams, including researchers and engineers, to surface the insights that are necessary for the future development of our models
- This role combines expertise in statistics, data science, frontend development and data visualization
- Design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations. This includes both data visualization tools, as well as statistical tools to extract signal from the noisy signals we get
- Develop an understanding of the relative merits and limitations of each of our model evaluations, as well as suggest new facets of model evaluation
Benefits
- Six weeks’ paid vacation
- Equity / stock options
- RRSP, 401(k), and Pension Scheme contributions
- Coverage for 100% of your insurance premiums across health, dental, vision, and travel
- Additional coverage for accessing mental health providers/services
- Six months of fully paid parental leave, including adoption and surrogacy
- Financial support for egg freezing and IVF in Canada and the UK
- A monthly fitness and wellness allowance
- Globally dispersed company that supports a remote work culture
- A $2,000 annual education benefit for professional development
- A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
- A monthly arts and culture allowance
- A monthly quality time allowance
About Cohere
Cohere is the leading data security-focused enterprise AI company. It is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London and New York. The company builds enterprise-grade frontier AI models with industry-leading multilingual capabilities designed to solve real-world business challenges. Cohere’s AI solutions are cloud-agnostic to meet companies wherever their data is stored and offer the highest levels of security, privacy, and customization with on-premises and private cloud deployment options.
Frontend Software Engineer
Top Benefits
About the role
Who you are
- Extremely strong software engineering skills
- Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance
- Prior experience building front-end visualization systems and dashboards
- Familiarity with ML systems evaluations
- Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX)
- Excellent communication skills to collaborate effectively with cross-functional teams and present findings
- One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
- If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply!
What the job involves
- As an Evaluation Frontend Software Engineer, you will play a key role in helping us make modelling decisions based on experimental outcomes for our large language models (LLMs)
- Your primary focus will be on building tools to enable easy visualization and analysis of model evaluations which are stored in a central database
- You will work closely with cross-functional teams, including researchers and engineers, to surface the insights that are necessary for the future development of our models
- This role combines expertise in statistics, data science, frontend development and data visualization
- Design tools and visualizations that enable researchers and engineers to compare and analyse hundreds of model evaluations. This includes both data visualization tools, as well as statistical tools to extract signal from the noisy signals we get
- Develop an understanding of the relative merits and limitations of each of our model evaluations, as well as suggest new facets of model evaluation
Benefits
- Six weeks’ paid vacation
- Equity / stock options
- RRSP, 401(k), and Pension Scheme contributions
- Coverage for 100% of your insurance premiums across health, dental, vision, and travel
- Additional coverage for accessing mental health providers/services
- Six months of fully paid parental leave, including adoption and surrogacy
- Financial support for egg freezing and IVF in Canada and the UK
- A monthly fitness and wellness allowance
- Globally dispersed company that supports a remote work culture
- A $2,000 annual education benefit for professional development
- A weekly stipend for meals when working remotely and catered lunch when working from one of our global offices
- A monthly arts and culture allowance
- A monthly quality time allowance
About Cohere
Cohere is the leading data security-focused enterprise AI company. It is a global technology company co-headquartered in Toronto and San Francisco, with key offices in London and New York. The company builds enterprise-grade frontier AI models with industry-leading multilingual capabilities designed to solve real-world business challenges. Cohere’s AI solutions are cloud-agnostic to meet companies wherever their data is stored and offer the highest levels of security, privacy, and customization with on-premises and private cloud deployment options.