Senior ML Engineer, Applied Machine Learning
Red Cell PartnersSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Enterprise SoftwareIndustries
Position Overview
- Location Type: Remote
- Employment Type: Full-Time
- Salary: (Salary not provided in the text)
Cohere is a company focused on scaling intelligence to serve humanity, training and deploying frontier models for developers and enterprises. They aim to be instrumental in the widespread adoption of AI, emphasizing a culture of hard work, fast movement, and customer focus. The company values diverse perspectives and a commitment to building great products.
Why this Role?
As a Member of Technical Staff on the Applied ML team, you will work directly with customers to understand their problems and design/implement solutions using Large Language Models. You’ll be responsible for closing the gap between enterprise AI adoption and delivering impactful products. You’ll have the opportunity to work like an early startup CTO/CEO, disrupting industries globally. This role involves planning and executing projects, aligning cross-functional teams, mentoring engineers, identifying model gaps, collaborating with product teams, and assisting with patent preparation.
Requirements
- Prior experience in leading ML teams in applied research and production.
- Prior experience in setting and executing technical direction for new or existing products.
- Prior experience in working cross-discipline in matrixed organizations.
- Proficiency in Python and related ML frameworks (Tensorflow, TF-Serving, JAX, and XLA/MLIR).
- Experience using large-scale distributed training and inference.
- Strong mentorship, communication, and problem-solving skills.
- A demonstrated passion for applied ML models and products.
- Working proficiency in Japanese.
Bonus
- Experience working for B2B companies in the ML space.
Company Information
- Mission: To scale intelligence to serve humanity.
- Focus: Training and deploying frontier models for developers and enterprises.
- Values: Obsession over building, hard work, fast movement, customer focus, and diversity of perspectives.
Application Instructions
- (Application instructions not provided in the text)
Skills
Python
Tensorflow
TF-Serving
JAX
XLA/MLIR
Distributed Training
Distributed Inference
Mentorship
Communication
Problem-Solving
Japanese
Cohere
Provides NLP tools and LLMs via API
About Cohere
Cohere provides advanced Natural Language Processing (NLP) tools and Large Language Models (LLMs) through a user-friendly API. Their services cater to a wide range of clients, including businesses that want to improve their content generation, summarization, and search functions. Cohere's business model focuses on offering scalable and affordable generative AI tools, generating revenue by granting API access to pre-trained models that can handle tasks like text classification, sentiment analysis, and semantic search in multiple languages. The platform is customizable, enabling businesses to create smarter and faster solutions. With multilingual support, Cohere effectively addresses language barriers, making it suitable for international use.
Toronto, CanadaHeadquarters
2019Year Founded
$914.4MTotal Funding
SERIES_DCompany Stage
AI & Machine LearningIndustries
501-1,000Employees