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

Experience Requirements:

• Extensive experience in building frameworks, libraries, and distributed systems with an eye for reliability, observability, and performance

• Proven proficiency in software development, with hands-on experience in Python or other programming languages such as Go, Java, Node.js or C++

Other Requirements:

• Ability to craft and deliver high-quality software solutions, including production-ready code, RESTful APIs, and managing infrastructure to industry standards

• Track record of successfully delivering complex projects with clear, structured thinking and leadership from concept to deployment

• Experience working in dynamic, fast-paced environments, such as startups, thriving in collaborative, growth-oriented settings

• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams from diverse backgrounds

• Strong ownership and personal accountability which are driven by your problem-solving skills, creativity, and initiative in driving projects to completion

• Experience in AI, legal tech, or social impact projects

Responsibilities:

• Contribute to end-to-end AI workflows by integrating traditional SaaS with AI applications, and rapidly prototyping zero-to-one features for customer needs, all while balancing innovation with pragmatism

• Collaborate with our founders, product managers, and designers to brainstorm, scope, and realize new features

• Establish best practices for architecture, coding, and delivery while scoping, leading, and building user-facing experiences, services, APIs, and systems

• Deliver secure, compliant code for sensitive data, ensuring quality through testing, reviews, and standards adherence while monitoring, debugging, and optimizing performance across the stack

• Mentor team members by providing feedback on code and design, while actively contributing to team culture, retrospectives, and continuous improvement efforts

Other Requirements:

• Proficiency with modern frontend technologies, particularly TypeScript, React, JavaScript, CSS, and the DOM, with 3+ years of frontend development experience

• Ability to craft and deliver high-quality software solutions, including production-ready code, RESTful APIs, and managing infrastructure to industry standards

• Track record of successfully delivering complex projects with clear, structured thinking and leadership from concept to deployment

• Experience working in dynamic, fast-paced environments, such as startups, thriving in collaborative, growth-oriented settings

• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams from diverse backgrounds

• Strong ownership and personal accountability which are driven by your problem-solving skills, creativity, and initiative in driving projects to completion

• Experience in AI, legal tech, or social impact projects

Responsibilities:

• Rapidly prototype and deliver innovative, zero-to-one solutions by developing and integrating AI-powered features into end-to-end AI workflows, ensuring a balance between cutting-edge technology and practical implementation to meet customer needs

• Collaborate with our founders, product managers, and designers to brainstorm, scope, and realize new features

• Establish best practices for architecture, coding, and delivery while scoping, leading, and building user-facing experiences, services, APIs, and systems

• Deliver secure, compliant code for sensitive data, ensuring quality through testing, reviews, and standards adherence while monitoring, debugging, and optimizing performance across the stack

• Mentor team members by providing feedback on code and design, while actively contributing to team culture, retrospectives, and continuous improvement efforts

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

Experience Requirements:

• Extensive experience in building frameworks, libraries, and distributed systems with an eye for reliability, observability, and performance

• Proven proficiency in software development, with hands-on experience in Python or other programming languages such as Go, Java, Node.js or C++

• An understanding of modern frontend technologies, particularly TypeScript, React, JavaScript, CSS, and the DOM, with 3+ years of frontend development experience

Other Requirements:

• Ability to craft and deliver high-quality software solutions, including production-ready code, RESTful APIs, and managing infrastructure to industry standards

• Track record of successfully delivering complex projects with clear, structured thinking and leadership from concept to deployment

• Experience working in dynamic, fast-paced environments, such as startups, thriving in collaborative, growth-oriented settings

• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams from diverse backgrounds

• Strong ownership and personal accountability which are driven by your problem-solving skills, creativity, and initiative in driving projects to completion

• Experience in AI, legal tech, or social impact projects

Responsibilities:

• Contribute to end-to-end AI workflows by integrating traditional SaaS with AI applications, and rapidly prototyping zero-to-one features for customer needs, all while balancing innovation with pragmatism

• Collaborate with our founders, product managers, and designers to brainstorm, scope, and realize new features

• Establish best practices for architecture, coding, and delivery while scoping, leading, and building user-facing experiences, services, APIs, and systems

• Deliver secure, compliant code for sensitive data, ensuring quality through testing, reviews, and standards adherence while monitoring, debugging, and optimizing performance across the stack

• Mentor team members by providing feedback on code and design, while actively contributing to team culture, retrospectives, and continuous improvement efforts

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

Experience Requirements:

• Over 5 years of hands-on, relevant experience crafting applications and services, ensuring intuitive and user-friendly experiences

• Extensive experience in integrating with third-party vendors while designing and implementing efficient and dependable integration frameworks

• Skilled in crafting RESTful APIs adhering to industry best practices and standards, coupled with a willingness to impart knowledge and mentor fellow engineers

• Solid grasp of software development fundamentals, encompassing data structures, algorithms, design patterns, and familiarity with various protocols like SOAP, REST, and GraphQL, along with server-side languages like SQL

Other Requirements:

• Ability to communicate technical ideas or issues in easy-to-understand and actionable terms

• experience with React/Typescript and experience in AI, legal tech, and social impact projects

Responsibilities:

• Actively engage in the full project lifecycle across the stack, with full ownership from conception to deployment and iteration

• Collaborate closely with backend engineers, product owners & designers to develop efficient, innovative solutions

• Collaborate with stakeholders to gather requirements and translate them into technical solutions

• Conceptualize the design and development of interfaces and integration architecture

• Document technical interface requirements and convert specifications into technical designs

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:

• Master’s degree in data science, artificial intelligence, computer science or equivalent experience

Experience Requirements:

• Minimum three years of experience delivering major data science projects in large, complex organizations

Other Requirements:

• 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

Responsibilities:

• 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

• Guide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previous

• Work closely with stakeholders to identify, refine and (occasionally) reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, model risk management and incorporate interfacing features

• Facilitate the professional & technical development of your colleagues through mentorship and feedback

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

Experience Requirements:

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

Other Requirements:

• 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:

• Traditional ML: Develop and deploy batch and real-time model inference pipelines to production, perform end-to-end integration testing.

• Gen AI: Develop and deploy scalable production Gen AI systems for Gen AI models.

• Mode Serving Framework: Develop in house model serving framework or integrate open-source model serving framework with enterprise data platform.

• ML System Design: Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability.

• Data Analysis & Processing: Perform data analysis, data preprocessing, and feature engineering on complex and large datasets for machine learning models.

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.

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

Experience Requirements:

• 3-5 years experience as a BDR/SDR

Other Requirements:

• Strong written, oral, and presentation skills

• Results-driven and hunter mentality

• Vibrant and energetic attitude, willingness to perform and get things done

• Tech-savvy, ability to understand complex technology and translate it to customer benefits

• Ability to work independently and collaboratively within a team environment

• Goal-oriented with a drive to achieve and exceed targets and objectives

• Familiarity with CRM software and proficiency in Microsoft Office Suite (Word, Excel, Outlook)

Responsibilities:

• Follow up on leads provided by the company through various channels such as phone calls, emails, and other communication methods

• Engage with potential customers to understand their needs, answer questions, and provide information about our products and services

• Nurture leads through ongoing communication to build rapport and trust, converting them into warm leads for further engagement by the sales team

• Liaise with multiple stakeholders in Customer Service, IT, and Operations

• Document all interactions and updates in the CRM system to ensure accurate tracking of leads and progress Collaborate with the sales team to hand off warm leads and provide comprehensive background information to facilitate the sales process Continuously learn about our products or services, industry trends, and competitor offerings to effectively communicate value propositions to potential customers Meet or exceed monthly and quarterly targets for lead follow-up and conversion activities

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months

Benefits:

• Competitive Compensation and Equity

• Hybrid workplace

• 401k plans with a matching program

• Medical, Dental and Vision coverage

• Life and AD+D Insurance

Experience Requirements:

• 3+ years of of experience designing microservices and data processing pipelines at scale

• 3+ years of experience with Google Cloud Platform (GCP) or AWS

• Experience with distributed model training and/or inference

Other Requirements:

• Previous experience deploying systems for efficient batch or online ETL

• Strong programming skills in Python

• Experience with database (SQL and NoSQL) systems

• Experience with optimizing models for production deployments

• Strong understanding of machine learning concepts

Responsibilities:

• Develop and maintain machine learning model development pipelines

• Develop and maintain real time and batch inference pipelines

• Implement and maintain metrics for tracking ML models performance

• Design and develop internal tools and APIs

• Model integration with labeling and data curation processes

Benefits:

• Health & wellness

• Remote work

• Unlimited paid time off

• Equity

• Paid parental leave