Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• PhD in Machine Learning, Computer Science, or other quantitive field

Experience Requirements:

• 10+ years of experience in machine learning with multiple models deployed in operational settings

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization

• Strong communication, collaboration, and coaching skills

• High proficiency in a procedural programming language (e.g. Python)

• Ability to translate and apply cutting edge research into practical solutions

• Strong leadership and mentorship abilities, with a passion for guiding and developing other team members

Responsibilities:

• Stay on top of the latest advancements in ML and prompt engineering and direct the team to adjust direction accordingly

• Build and deploy models in production that tangibly impact the lives of our customers

• Help set team best practices on how prompting experimentation and development is done; design and implement efficient procedures for benchmarking and optimizing prompt performance

• Provide technical leadership and mentorship for a highly skilled team of data scientists and machine learning engineers, guiding them in solving complex business problems

• Act as a strategic advisor for leaders across the organization on driving business impact through machine learning

Benefits:

• Equity

Education Requirements:

• BS or MS degree in CS, AI, or applied math

Experience Requirements:

• 5+ years of experience building AI/ML based products in NLP domains

• Strong understanding of deep learning AI/ML frameworks or cloud services

• Hands-on ML Ops experience

Responsibilities:

• Create and ship highly-differentiated AI experiences

• Craft Tome's AI/ML strategy

• Identify user needs for AI/ML solutions

• Prototype LLM-powered experiences

• Help build a world-class AI/ML engineering team

Benefits:

• Equity

Education Requirements:

• 5+ years of industry experience in NLP

Experience Requirements:

• 5+ years of industry experience in NLP

• Strong understanding of deep learning AI/ML frameworks or cloud services

• Hands-on ML Ops experience

• Deep expertise in NLP and model training, specifically with LLMs

• Proven experience adapting open-source generative models

Responsibilities:

• Create and ship highly-differentiated AI experiences

• Craft Tome's AI/ML strategy

• Pioneer the training of new models

• Prototype LLM-powered experiences

• Help build a world-class AI/ML engineering team

Benefits:

• Global workplace

• Remote workforce culture

• Performance-driven rewards

Benefits:

• Global workplace

• Remote workforce culture

• Performance-driven rewards

Benefits:

• 100% covered medical/dental/vision for employees

• 15 days annual PTO plus holidays

• 401k matching

Education Requirements:

• PhD in related field, or equivalent industry experience

Experience Requirements:

• Prior key contributor to significant deep learning projects for image enhancement or image processing

• Significant prior experience with CNNs and other common computer vision network architectures

• 2 years of hands-on experience with TensorFlow or PyTorch

• Good understanding of common image processing algorithms

• Working knowledge of C/C++

Responsibilities:

• explore and develop new deep learning models to solve inverse problems in imaging

• evaluate customer feedback and image data to gauge performance and refine your models based on real-world usage

Benefits:

• 100% covered medical/dental/vision for employees

• 15 days annual PTO

• 5 personal days plus holidays

• 401k matching

Education Requirements:

• PhD in related field or equivalent industry experience

Experience Requirements:

• Significant research on GAN or diffusion models for image/video enhancement, image processing, or image editing

• Experience with model distillation, quantization, and pruning

• 2+ years of hands-on experience with PyTorch, expert level at python

• Working knowledge of C/C++

Responsibilities:

• explore and develop GAN and diffusion-based generative AI technologies in the image and video domain

• improve inference and memory efficiency while retaining performance

Benefits:

• competitive salary and benefits package

• opportunity to work on cutting-edge AI projects

• collaborative and supportive work environment

• opportunity to participate in conferences and workshops

• opportunity to participate in Tech Talks (internal training and seminar sessions)

Experience Requirements:

• minimum of 4 years of experience in data science

Other Requirements:

• Skilled in Python with strong familiarity with data science libraries like NumPy, pandas, and scikit-learn

• Proficient in SQL for effective data management and querying

• Strong skills in creating data visualizations

• Excellent written and verbal communication skills

• Excellent problem-solving capabilities

Responsibilities:

• Develop and implement scalable models and analytics solutions to address real-world challenges

• Translate business requirements into data-driven insights and actionable goals

• Optimize data pipelines to enhance data processing and analysis capabilities

• Design automated processes for data analysis and report generation

• Ensure seamless integration of data solutions within client environments

Benefits:

• Profit Sharing

• Generous PTO

• Work from Anywhere

• Advanced Training

• Modern Tech

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