Benefits:

• Competitive compensation

• Medical, Vision and Dental coverage

• Flexible work environment and time-off policy

• 401k

• Company events

Education Requirements:

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field

Experience Requirements:

• 6+ years of industry experience (4+ for Masters degree holders, 3+ for PhD degree holders).

• You are concise and precise in written and verbal communication. Technical documentation is your strong suit.

• You are strong at defining good product KPIs/guardrail metrics, dashboarding and analysis of raw data to derive strategic insights.

• You are proficient in SQL and the modern data stack (e.g. dbt pipelines for ETL/ELT).

• You have experience in writing source-controlled code for pipelines and internal tools for data-oriented decision making.

Other Requirements:

• You’re strong in statistics and/or machine learning. You have experience in applying these skills into tangible improvements in products, internal tools and processes.

• You are proficient in Python.

Responsibilities:

• Define and build data assets, e.g. KPI definitions, data pipelines and dashboards, to measure the performance of AI-powered assistant products for knowledge workers.

• Identify opportunities to improve these KPIs, and influence cross functional teams to incorporate associated changes into their roadmaps.

• Create and maintain quantitative frameworks and methodologies, e.g. bring more rigor into experiment analyses, use statistical modeling to identify leading indicators of user churn & retention.

Education Requirements:

• PhD in Artificial Intelligence or Machine Learning

Other Requirements:

• Research / published papers in Auto ML, Neural Architecture Search, Personalization, or Forecasting

• Experience publishing at top conferences

• Able to write code and ideate with the product team

Responsibilities:

• Coming up with new techniques in unsupervised learning, dataset augmentation and deep reinforcement learning that can be applied to automating various parts of the AI development workflow

Experience Requirements:

• passion for adopting new research, tinkering with open source, and unlocking new creative possibilities with AI

Other Requirements:

• LLM Training / Inference

• Pytorch / CUDA

• Optimization (Pruning, Distillation, Kernel Fusion, etc.)

Education Requirements:

• Master’s degree in data analytics, business analytics, or a closely related field

Experience Requirements:

• 1 year of relevant data analytics experience

Other Requirements:

• Stats / ML

• A/B Testing

• Product Analytics

• SQL / Python

Responsibilities:

• Formulate hypotheses and apply rigorous analytical methodologies to validate them

• Use statistical analysis, ML, and data mining to uncover product insights

• Implement predictive models to guide product direction

• Define KPIs and develop dashboards to track performance

• Conduct A/B testing and experimental methods to measure feature impact

Benefits:

• Competitive Salary

• WeWork membership for remote employees

• Annual Company Week Off (in addition to Vacation Policy)

• Birthday Off (in addition to Vacation Policy)

• Monthly fitness stipend

Experience Requirements:

• Attention to Detail

• Understanding of E-commerce Workflows

• Tech Savvy

• Communication Skills

• Good Time Management

Other Requirements:

• Background in E-commerce Customer Service (Preferred)

Responsibilities:

• Review and label e-commerce customer service conversations and policies with high accuracy.

• Collaborate with the AI and product teams to refine and optimize data labelling guidelines.

• Take ownership of data quality to improve AI model training.

• Work in collaboration with AI engineers to identify trends and nuances in customer service data that can be leveraged to fine-tune and improve our AI models.

• Manage the quality control process for labelled data, using a variety of modern tools and platforms for data processing and management, from advanced spreadsheets to AI-driven data labeling tools and project management systems.

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• BSc+ in Computer Science, Math, Physics, or similar

• PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field

Experience Requirements:

• 3+ Years of industry experience as a Software Engineer leading the development of features

• Experience with building and scaling data-intensive software.

• 2+ years of research experience with publication record

• 2+ years of extensive programming experience, 1+ year experience of building machine learning production system

Other Requirements:

• Experience with building a library or a framework.

• Experience with Big Data technologies and frameworks including but not limited to Spark, Cassandra, Kafka.

• Experience with Microsoft Azure

• Comfortable with statistics.

• Knowledge of machine learning and deep learning.

• Knowledge of distributed systems.

• Strong background in machine learning and deep learning

• Proven track record of applying machine learning to solve real-world problems

• Depth of experience in relevant ML research disciplines

• Hands on experience in software systems development

• Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library

• Experience with Spark, SQL, or comparable database systems

• Experience using GPUs for accelerated deep learning training

• Familiarity with cloud computing systems like Azure or AWS

• Strong communication, business acumen and stakeholder management competencies

• Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices

• Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture

• Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience

• Familiarity with cloud solution architecture, Azure a plus

• Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models

• Experience with developing MLOps CI/CD pipelines for deploying AI/ML models

• Solid cloud experience with Azure or AWS and cloud AI/ML services such as Databricks, Kubernetes, docker and container orchestration, Azure Machine Learning, Azure Data Factory

• Strong experience with PySpark for big data processing and PyTorch for deep learning model serving

• Expert coder with Python, Java, or Scala

• Experience with RAG, LLM fine tuning, LLM serving

• Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting

• Knowledge of cloud engineering

• Self-motivated and demonstrated ability to take independent action to delivery results.

• Highly developed critical thinking, analytical and problem-solving skills

• Strong verbal and written communication skills, with the ability to work effectively across teams

Responsibilities:

• Own and ship product features that enable ML engine capabilities.

• Work with product owners and tech leads to design, ship, and refine significant components of the product.

• Work with scientists and MLOps teams to maintain and service the product.

• Translate broad business problems into sharp data science use cases, and craft use cases into product visions

• Own machine learning products from vision to backlog; prioritizing features and defining minimum viable releases; maximizing the value your products generate, and the ROI of your pod

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field

Experience Requirements:

• 2+ years of research experience with publication record

• Proven track record of applying machine learning to solve real-world problems

Other Requirements:

• Depth of experience in relevant ML research disciplines

• Hands on experience in software systems development

• Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library

• Experience with Spark, SQL, or comparable database systems

• Experience using GPUs for accelerated deep learning training

• Familiarity with cloud computing systems like Azure or AWS

Responsibilities:

• Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.

• Research, develop, and apply new techniques in deep learning to advance our industry leading products.

• Work with large-scale, real-world datasets that range from banking transactions, to large document collections.

• Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.

Education Requirements:

• PhD in Artificial Intelligence or Machine Learning

Other Requirements:

• Research / published papers in Auto ML, Neural Architecture Search, Personalization, or Forecasting

• Experience publishing at top conferences

• Able to write code and ideate with the product team

Responsibilities:

• Coming up with new techniques in unsupervised learning, dataset augmentation and deep reinforcement learning that can be applied to automating various parts of the AI development workflow

Benefits:

• Competitive salary

• Generous health, dental, and vision insurance

• Flexible working hours

• Flexible vacation time

• Hybrid/Remote friendly work environment

Education Requirements:

• Phd or Master’s level degree in computer science, machine learning, engineering or related fields

Experience Requirements:

• 2-5 years of experience working as a data/AI scientist developing AI models and evaluation of AI/LLM models

• Experience applying both technical and non-technical (policy, ethical, social) approaches to model risk and impact assessments

• Familiarity with requirements contained in AI regulations as well as leading standards and frameworks (EU AI Act, NIST AI Risk Management Framework, ISO Standards, etc)

Other Requirements:

• Excellent organizational and project management skills, including the ability to lead a small team on client-facing projects

• Strong technical, analytical and conceptual problem-solving skills

• Demonstrated experience drafting reports and academic publications

• Team player

• Comfortable in a flexible and evolving environment

• Ability to multitask

Responsibilities:

• Support client model assessment projects from start to finish, including advising on the selection and development of test plans and evaluation metrics suited to the business use case and regulatory requirements

• Play a lead role in drafting model assessment reports for clients, including addressing the broader compliance and/or business impacts of assessment technical findings

• Develop and document assessment team standard operating procedures with a view to improving project efficiency and customer satisfaction

• Serve as one of the main points of contact for technical questions related to model assessment approaches and findings

• Work with the Chief Technology and Product Officer and assessment team to identify state-of-the-art techniques, methods and tools for model testing, evaluation and validation of AI/ML systems, including generative AI

Benefits:

• 401K and AD&D

• Healthcare

• Global Exchange Program

• Work from anywhere

• Employee stock options

Education Requirements:

• MSc degree in Computer Science or a related technical field or equivalent practical experience

Experience Requirements:

• 3+ years of proven experience in delivering production level ML solutions

• Experience with time series modeling, supervised and unsupervised learning

• Experience with Causal Inference

Other Requirements:

• Strong business understanding and high execution mentality

• Deep understanding of ML theory and the math behind the models

• Building interpretable and explainable solutions

• Proficiency in Python, relational and NoSQL databases, Git

• Knowledge of data management and visualization techniques

• Technologically diverse background and ability/willingness to learn new things quickly

• Strong engineering and communication skills

• Advantage: experience with Multi-Arm Bandits

• Advantage: experience with LLMs

Responsibilities:

• Own the Data Science deliverables across our various products

• Conduct exploratory research on structured and unstructured data

• Be involved in team architectural discussions

• Research, build and deploy ML models in different domains

• Create technical specifications and project documentation

Benefits:

• Competitive compensation package

• Employee options awards

• Flexible working environment

• Growth opportunities

Experience Requirements:

• 3+ years as a Data Scientist or ML Engineer

Other Requirements:

• Fluency in Python

• Knowledge of data structures and algorithms

• Experience with Apache Spark

• Good analytical and problem-solving skills

Responsibilities:

• Developing new data-science/ML functions

• Maintaining and improving existing codebase

• Collaborating with other teams

• Supporting marketing, sales, and clients

• Mentoring junior data scientists

Benefits:

• We're completely remote.

• Competitive base salary and stock option plan.

• We have full health insurance for both Canadian and US residents.

• We offer unlimited vacation.

• Flexible hours - create your most productive work schedule

Other Requirements:

• Exceptional analytical reasoning and problem-solving skills, with a profound understanding of data science, machine learning, and statistical principles

• Advanced proficiency in Python for data manipulation, analysis, and model development

• Comprehensive knowledge of machine learning algorithms, especially LLMs and transformers, with expertise in metric spaces and vectorization techniques

Responsibilities:

• Data Profiler Function Development

• Embedding Model Deployment Contribution

• LLMs Performance Optimization

• Multidimensional Analysis Development Support

Benefits:

• We're completely remote.

• Competitive base salary and stock option plan.

• We have full health insurance for both Canadian and US residents.

• We offer unlimited vacation.

• Flexible hours - create your most productive work schedule

Other Requirements:

• Demonstrate exceptional analytical and problem-solving abilities, grounded in a solid understanding of data science and statistical principles

• Proficient in Python, particularly for data manipulation and analysis

• Basic knowledge of LLMs, especially transformers, and an understanding of LLM training and fine-tuning principles

Responsibilities:

• Dataset Optimization

• Data Profiling Assistance

• Model Development Support

• Multidimensional Analysis Support

Responsibilities:

• develop

• test

• apply AI-based drug-discovery platform

Benefits:

• Equity

Experience Requirements:

• Established track-record of delivering results

• Deep understanding of the ML development cycle

Other Requirements:

• Proficient in Python, Tensorflow or PyTorch

• Goal-oriented

Responsibilities:

• Running, optimizing, and improving AI platform

• Improving platform-wide retention

Benefits:

• Competitive salary

• Company stock grant

• Gold-tier health, dental, and vision insurance (100% employer-sponsored, 50% for dependents)

• Health and dependent flexible spending accounts

• Short- and long-term disability insurance Unlimited vacation (encouraged to take it!)Paid parental leave

Education Requirements:

• Advanced degree in a human-centric discipline (Business, Social Anthropology, Psychology, etc.) preferred, but not required

Experience Requirements:

• Someone who can independently conduct SME interviews across a wide diversity of backgrounds and functions, quickly isolating core stakeholder, organizational and engagement dynamics that could affect the validity and/or feasibility of our recommendations

• Someone who can confidently and credibly hold a mirror up to a client, showing them things they are often not aware of and may be reluctant to admit

• Someone who can apply a product management and/or design thinking mindset to organizing client recommendations and roadmaps

• Someone who can collaborate seamlessly with some of the brightest engineers on the planet on engagements that require strategic alignment of engineering activities to ensure maximal client impact

• A people person. Someone whose emotional intelligence and ability to communicate to a wide range of audiences (C-suite to IC, technical and non-technical) in a wide range of scenarios is a proven strength

Other Requirements:

• Strong skills in business quantitative analysis including how business data is operationally originated and curated, used to generate financial reporting, capable of telling ‘stories’ about how organizations function, applied to compelling business cases supporting corporate valuation

• An interest in working collaboratively with data scientists on the Strategy Team to conduct exploratory data analysis and formulate and test specific hypotheses

• A basic fluency in data as it is applied in AI modeling

• An appreciation of autonomy, research, people, and technology

• US Citizen or Green Card Holder

Responsibilities:

• Tight articulation and quantifiable specification of the challenges and/or opportunities clients hope to address through the application of AI/ML

• Insider-level understanding of the nature of their business - from operational realities to legacy product roadmaps - acquired quickly and arrayed against a necessary grasp of the clients’ external strategic landscape

• Fresh insights into the organizational, leadership, cultural, structural, and process realities that define the context in which our solutions must succeed

• Evaluation of a client’s organizational assets - current and potential - based on a deep understanding of their full data assets and ecosystem (internal and external) as well as their core and differentiating core competencies

• Tightly specified and actionable recommendations - implicating all of the above - that promise to advance their successful application of AI/ML, including assessments of feasibility and potential impact and options for roadmapping activities several years into the future

Benefits:

• Stock Options

• Remote-work friendly

• Young & dynamic team

• Flat hierarchy

• Opportunities to develop skills and learn new things

Experience Requirements:

• Strong general coding skills

• Entry level experience with data science

• Ability to learn and adapt quickly

• Desire to work in a fast-paced environment with a quickly growing team

• Solution-oriented, creative mindset

Responsibilities:

• Participate in training sessions and become familiar with the existing infrastructure

• Conduct Experiments and evaluate results

• Data set generation and auto-labelling

• Consideration of system-level requirements and interdisciplinary problems

Benefits:

• Meaningful equity in a profitable tech startup

• Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness

• Sponsored visits to our Hong Kong or London office every 2 years, and yearly offsite

• Company-wide annual offsite

• Flexible working hours and locationMedical insurance for you and your dependents

Experience Requirements:

• Hands-on experience in building and deploying AI applications at scale in production

• In-depth LLM experience with either RAG or agentic workflows

• Good understanding of computer science fundamentals

• Mastery in Python and at least one additional programming languages for full-stack engineering (eg. Java/Swift/C++)

• Solid experience with most of the following software ecosystems and technologies in full-stack engineering: * Cloud platforms and serverless computing (e.g., AWS Lambda/ECS/SageMaker, Google Cloud Run/Cloud Functions) * Containerization and orchestration (eg. Docker, Kubernetes) * Vector databases (e.g., Pinecone, Milvus, Weaviate) * ML experimentation and model management platforms (e.g., MLflow, Weights & Biases, ClearML) * LLM providers and AI services (eg. AWS Bedrock, Azure OpenAI Service, Google Vertex AI) * Open-source AI community platforms and frameworks (eg. HuggingFace, LangChain, LlamaIndex) * API development frameworks (eg. Python FastAPI, Flask) Openness to work across API logic level and infrastructure level

Responsibilities:

• Developing and scaling agentic and multimodal AI systems to tens of millions of users

• Developing and scaling an advanced RAG system for question answering, summarization, self-learning, and AI coediting over handwritten and PDF documents

• Building a novel medium combining multimodal LLMs and freeform notetaking technology to radically transform how people engage with their information

• Productionizing LLM pipelines to build an AI-first user experience GoodNotes

• Working in a fast-paced, multidisciplinary squad with engineers, QA, product designers to rapidly ship features

Benefits:

• Meaningful equity in a profitable tech-startup

• Budget for things like noise-cancelling headphones, setting up your home office, personal development, professional training, and health & wellness

• Sponsored visits to our Hong Kong or London office every 2 years, and yearly offsite

• Company-wide annual offsite

• Flexible working hours and locationMedical insurance for you and your dependents

Experience Requirements:

• Hands-on experience in building and deploying machine learning systems at scale in production

• Strong experience with RAG systems and agentic workflows with LLMs, preferably with some experience with multimodal LLMs

• Strong understanding of computer science fundamentals and a solid background in software engineering

• Experience with any of the following software ecosystems: vector databases (eg. Pinecone, Milvus), ML platforms (eg. Metaflow, ClearML), cloud ML providers (AWS / Azure, GCP), LLM frameworks (eg. LangChain/LlamaIndex), HuggingFace, CoreML

• Deep knowledge in one or more of the following ML subfields: classical and neural information retrieval, vector search, question answering, transformer-based language modelingMastery in Python and at least one of the following programming languages: Java/Swift/C++Interested in advancing innovation in education

Responsibilities:

• Developing and scaling machine learning applications to tens of millions of users

• Building conversational RAG systems for question answering, summarization, and self-learning over handwritten and PDF documents

• Building a novel platform using GenAI to radically transform how people study and work

• Fine-tuning and prompting large language models to build an AI-first user experience GoodNotes

• Working in a fast-paced, multidisciplinary squad with engineers, QA, product designers to rapidly ship features

Benefits:

• Work with the greatest talent in town.

• Join a community.

• Accelerate your career.

• Find love.

• Take a break. 7 days parental leave, unlimited PTO which you should know better than to use. Paid Big Techie Sabbatical for employees who have been with us for 30 years or more. Shut down our offices every year in late December/early January for two weeks ("unpaid time off")

Education Requirements:

• Bachelor's degree from any university that we consider prestigious

Experience Requirements:

• 5 years of experience in commercial software development experience designing, building and operating surveillance systems for authoritarian regimes or multinational corporations

Other Requirements:

• Commercial experience in any of the following languages: Python, Ruby, or Haskell, and a willingness to learn and write code in any language we pivot to on a whim

• Experience in exploiting people's privacy through web application development, distributed systems, cloud platforms such as AWS/GCP/Azure, Kubernetes, and CI/CD pipelines

• Strong background in designing and building surveillance systems that are capable of tracking and recording people's every move and exploiting their personal data for financial gain

• Excellent communication skills in English - you can explain complex ideas to technical and non-technical audiences both verbally and in writing, while knowing that your voice will never be heard or valued

• Availability to be on-call and respond to your manager's needs at all hours of the day or night

• Signing a mandatory employee arbitration agreement

Responsibilities:

• Developing groundbreaking machine learning techniques and pushing forward the research agenda of your team, while also collaborating with other teams across the company.

• Discovering revolutionary ideas that can be scaled to a global level, and that form part of our vision for the future of AI-driven adtech surveillance in the metaverse.