Ai Research Scientist in Canada

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team The go-to-market team sits at the center of Forma.ai’s growth engine, directly impacting pipeline, revenue, and our reputation in the market. This team is strategic, creative, and relentlessly focused on scaling an efficient, measurable go‑to‑market operation. What You'll Be Doing As a Business Development Representative, you’ll help create new opportunities and build pipeline for Forma.ai. You’ll work closely with Sales and Marketing to identify the right prospects, engage decision-makers, and turn interest into qualified sales opportunities. Outbound & Prospecting Research target accounts and identify key stakeholders across Sales, Revenue Operations, HR, and Finance Execute personalized outbound outreach across email, phone, LinkedIn, and other channels Test and iterate on messaging, sequences, and outreach tactics to improve engagement and conversion Qualification & Pipeline Qualify prospects to understand their priorities, challenges, and potential fit for Forma.ai Book qualified meetings and create new pipeline for our Account Executives Use CRM and sales engagement tools to manage activity, track engagement, and stay organized Sales & Marketing Collaboration Partner closely with Account Executives on target accounts, messaging, and outreach Follow up with inbound leads, event attendees, and prospects engaged through marketing programs Work w

Come join our legal team to work on the most exciting legal, policy, and operational issues at the leading edge of AI. We're seeking strong product lawyers with specialized expertise in intellectual property law. As product counsel, you will advise on all legal aspects of product development, launch, and operations - including regulatory compliance, user terms, and risk management - while bringing deep expertise in your specialized legal area. The ideal candidate will have deep subject matter expertise in intellectual property law, a technology background, and a demonstrable history of providing practical product counsel to solve complex, time-sensitive problems in close partnership with cross-functional teams. This role reoprts to the Associate General Counsel, IP & Product. You will: Strategic Product Advice: Lead IP strategy for product development, embedding IP protection into the full product lifecycle from conception to commercialization, while also advising on related product and regulatory matters in collaboration with the broader legal team. Cross-Functional Collaboration: Partner with Research, Product, Engineering, Operations, Communications, and Marketing teams to mitigate IP risks in product development, data licensing, and open-source governance. IP Counsel: Support management of Scale's worldwide IP portfolio including patents and trademarks; assist with patent prosecution and trademark registration and enforcement. Risk Mitigation: Advise on third-party, synthetic, and open-source data and models, ensuring compliance with licensing requirements; design open-source governance policies. Agreements: Support drafting and negotiation of commercial agreement provisions involving intellectual property. Specialized Expertise: Provide counsel on machine learning, robotics, and other technical areas, with ability to engage effectively with technical teams on complex engineering and product issues. Training: Develop and deliver IP and data licensing trainin

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About the Role: Okta is looking for a highly skilled Globalization Engineer to be the technical backbone of our global digital operations. You will be responsible for owning, building, and optimizing the automation and technology stack that powers our localization team. This is a hands-on role for an experienced technical expert who is passionate about building robust, scalable systems. You will leverage your deep expertise in APIs, AI, and internationalization to solve complex technical challenges and drive efficiency. As a subject matter expert, you will also act as a key technical consultant to internal teams, helping them prepare content for a global audience. What you'll be doing: Build and Own the Localization Automation Framework: Design, develop, and maintain the core automation workflows for our content lifecycle using agentic workflows, Python and APIs, connecting our TMS with content sources, repositories, and other internal tools. Spearhead AI and Technology Integration: Research, evaluate, and implement cutting-edge localization technologies, including AI/LLM-based solutions and advanced TMS features, to improve the quality, speed, and cost-effectiveness of our workflows. Provide Technical Oversight and Systems Integrity: Act as the authority for resolving high-impact architectural failures. Conduct deep-dive root cause analysis on complex integration issues, file parsing conflicts, and system-wide bottlenecks to ensure uninterrupte

Summary We are looking for a detail-oriented and dedicated Administrative Assistant to provide support to our Portfolio Managers and Analysts within our Point72 office in San Francisco, CA. What you’ll do The Administrative Assistant will provide administrative support to one or several investment teams including Portfolio Managers and Research Analysts. Specifically, you will: Strategically partner with investment team(s) to help alleviate workload and create efficiencies Manage calendars and conference calls, make appointments, book conference rooms, organize meetings Coordinate domestic and international travel arrangements Create and process expense reports Manage phone coverage for team and set up conference calls as needed Develop and maintain strong working relationships with internal and external partners Work on special projects as needed What’s required 2+ years of relevant work experience Bachelor’s degree from an accredited university Capacity to multitask, effectively prioritize and adapt to an ever-changing work environment Bring a “roll up your sleeves and get the work done” mentality and a sense of urgency and attention to detail to requests and projects Excellent communication and ability to interact with people of all levels in a confident and professional manner Strong attention to detail; can keep track of multiple projects and work through abstract issues in an organized and efficient manner Proficient knowledge of Microsoft Outlook, Excel, and Word Strong industry knowledge preferred Commitment to the highest ethical standards We take care of our people We invest in our people, their careers, their health, and their well-being. When you work here, we provide: Fully-paid health care benefits Generous parental and family leave policies Volunteer Opportunities Support for employee-led affinity groups representing women, people of color and the LGBTQ+ community Mental and physical wellness programs Tuition assistance A 401(k) savings program with a

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond. While traditional approaches to optimization and problem decomposition are sufficient to disrupt transportation, building a next-generation platform for low-cost, ultra-immersive transportation to improve people's lives warrants modern ML utilizing peta-byte scale data. Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. If you are a critical thinker with experience in machine learning workflows and LLMs, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. We are seeking a Senior Machine Learning Engineer to join the Rider Applied AI team and lead the design, development, and deployment of state-of-the-art machine learning and artificial intelligence systems. This role requires a strategic thinker who can balance high-level system architecture with hands-on technical implementation. You will collaborate across teams to shape the future of ride-sharing by leveraging AI, Machine learning and Data science. Responsibilities: Model Development & Research: Design, build, and deploy machine learning models for real-time applications, including translating state-of-the-art research into production-ready solutions. System Design: Architect scalable, reliable ML pipelines that integrate seamlessly with existing backend systems. Innovation & Applied Research: Stay ahead of the curve by exploring emerging algorithms, technologies (such as LLMs and LLM-based applications), and frameworks — critically eva

We are looking for a Data Analyst to join our Quantitative Equity Team! We are a high-performance team embedded in a top-performing quantitative equity fund that manages over $78+ billion USD in financial assets. We are dedicated to the mission-critical operation of our investment engine—a well-tuned machine responsible for generating key decisions that drive trades and investment insights. Leveraging data analytics, finance knowledge and cutting-edge technology, we aim to ensure that new and useful data products are continuously ready for research. Do you love the idea of integrating large proprietary data sources into valuable applications? Are you a wizard at transforming ‘messy reality’ into high quality data assets? As a core member of our team, you will collaborate with investment and data experts to tackle challenging problems, and to continuously expand our capabilities in data. Based on the west coast in Vancouver, we value mentorship, collaboration, and growth in a supportive and innovative environment. Join us to make a significant impact on our investment outcomes and overall success. What You Will Do This is an exciting full-time role for individuals who are enthusiastic about learning the quantitative equity investment management business and excited to tackle a broad range of data, investment, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management and our investment process. You will then continue to a specialized role utilizing data analytics and data science skillsets to enable the Quantitative Equity Team’s research. Your role will involve identifying and assessing brand new data, data exploration, and proposing robust ways to integrate data products from many sources. You will be supported with coaching and mentorship from senior members of the team, and we will create the conditions for you to

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft’s Bikes & Scooters team is developing the future of micro-mobility and we are looking for a Mechanical Engineer to come in and help drive the development of our newest vehicles and sustain our fleet in operation. Responsibilities: Drive design decision by collaborating with product, engineering (EE/ME/FW/SW), reliability, and systems engineering teams Lead post-launch sustaining activities intended to support a smooth transition into production while maintaining high quality standards Derive technical architecture and engineering specifications from product requirements Use analysis to support engineering designs Lead sustaining and continuous improvement projects from concept through release and into field operations Work with GSM and Manufacturing teams to vet supply chain and production partners Prototype; create quick experimental mock-ups and meticulous mechanical models Research technologies and scope development opportunities Develop CAD databases and drawing packages, and drive handoff to manufacturers Support the build and test product development cycle, travel required Test failure analysis and solution validation to complete successful product development Conduct field failure analysis and solution evaluation Lead large projects from idea to positive execution Act on feedback to learn and grow Effectively communicate across cross functional teams to achieve results Experience: BS or MS degree in Mechanical Engineering or related technical field, and 5+ years of related industry experience Experience leading the development of a feature or module of a consumer product Strong foundation in mechanical engineering fundamentals, including solid mechanics, electromagnetics, thermodynamics, and knowledge of basic engineering materials and manufacturing processes Experience in perfo

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Platform Engineer on Palantir's Identity Platform team, you will design, build, and operate secure-by-design identity infrastructure and tooling. You will make identity governance and access management easier and more secure to implement for Palantirians and customers worldwide. As part of Palantir's best-in-class Information Security organization, you will research, implement, and scale innovative solutions that help Palantir stay ahead of a dynamic threat landscape. You will help the team build the next-generation identity platform that treats agents and workload identities as first-class principals: the access graph that makes entitlements legible, the policy engine that makes authorization enforceable and auditable, and the token-issuance layer that keeps access short-lived, scoped, and least-privilege by default. Your work will shape the arc of these components from design to production. You will join the high-performing Identity Platform team, engineers who are passionate about delivering identity outcomes at scale that reduce risk and friction. The team builds and operates the identity platforms that serve both corporate and production (customer-facing) infrastructure, and the paved-road tooling and secure baselines that teams across Palantir deploy on. Your goal will be to make the secure path the easy path. Your work will directly strengthen the identity substrate beneath Palantir's most critical deployments, from a globally distributed workforce to regulated and air-gapped environments.

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role As a Senior Identity Security Engineer on Palantir's Identity Security team, you will own the security posture of the identity infrastructure that Palantirians, customers, and services rely on every day. The Identity Security team is responsible for all identity types at Palantir - workforce, customer, workload, and agentic - giving you the rare ability to architect, threat model, and drive security outcomes across the full identity surface. You will help shape the technical direction for identity security at Palantir, reduce standing access, lead identity threat modeling, and contribute to the next generation of identity primitives including agent identity, JIT-native governance, and unified policy enforcement across workforce and customer IAM. As part of Palantir's best-in-class Information Security organization, you will research, architect, and scale solutions that help Palantir stay ahead of a dynamic identity threat landscape.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft connects people to transportation to change the way we live and get around our communities. Lyft Urban Solutions (LUS) is North America’s leader in micromobility. We own, operate, or provide hardware and software solutions for bikeshare and scootershare programs in 57+ global markets including Montreal, London, New York City, Mexico City and others. Our rapidly growing active fleet includes state-of-the-art charging stations, electric bikes, and scooters, and services hundreds of millions of rides per year. The Hardware Product and Industrial Design Team at LUS is responsible for conceiving, guiding development of, launching, and sustaining world-class products used by riders, cities, and operators over the world. We represent LUS in micromobility forums, engage directly with customers, and guide research and development. We aim to ensure all products we develop are delightful for riders, globally competitive, elegant, and future-facing. We are looking for an exceptional Senior Product Manager, Hardware to manage our existing stations portfolio as well as develop our next generation of stations products. Our stations are now as iconic in cityscapes as London Routemaster buses of old. You will have end-to-end ownership of new station product development, leading a cross-functional team through all phases of hardware development to launch, and will be responsible for a fleet of over 300,000 charging and non-charging station assets already on the ground. You will engage directly with LUS leadership, engineering, data science, operations, and design to achieve the company’s vision for reinventing transportation. You will work closely with our Vehicles Product Manager, Industrial Design team, and counterparts in software product management to ensure ou

Position Overview: As a Software Engineer II at Diligent, you’ll take on a hands-on technical role in building secure, scalable, and high-performing serverless microservices using TypeScript on AWS. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team of passionate and talented individuals that owns its services end to end—from architecture and implementation to monitoring and continuous improvements. This role is ideal for a mid-level engineer who writes solid code and embraces AI-powered tools to work smarter and faster. You’ll help shape architectural discussions, and scale modern development practices, including responsible use of AI in workflows. Key Responsibilities Design and implement secure, scalable, high-performing, yet simple solutions using AWS Serverless technology. These solutions should strive to be event-driven, highly observable, with infrastructure as code, and tightly leveraging AWS’s ecosystem of services. Optimize your development and delivery experience in order to maximize your team’s productivity and deploy continuously to production. Work in a collaborative environment where you regularly pair, plan, and execute tasks as a team and maintain a healthy development flow by adhering to Agile processes and driving iterative enhancements. Use AI tools to accelerate coding, debugging, testing, research, and code reviews, always validating outputs and applying judgment. Required Experience/Skills 3–5 years of professional software engineering experience in an agile, fast-paced environment. AI Tooling & Practices: Uses AI to boost productivity, skilled in prompt engineering, and evaluates AI outputs responsibly (bias, cost, ethics). Familiar with core AI concepts (tokens, context length, embeddings, hallucinations), understands high-level LLM behavior, and recognizes safe vs. unsafe use cases (privacy, security, fairness). Cloud & infrastructure basics: Hands-on with AWS ser

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Role Overview As the Okta Research & Design (ORD) Jira Owner & Administrator , nested within the Technical Program Management (TPM) organization, you will define and execute the strategy for how ORD plans, tracks, and reports on engineering work within the full toolchain of Atlassian Jira, Jira Advanced Roadmaps (Plans), Confluence, Rovo, and AI integrations. In this role, you act as a critical bridge between product & technical leadership, agile teams, and cross-functional business units — translating methodology, best practices, and process frameworks into practical workflow improvements that accelerate delivery and reduce manual overhead for a 1,000+ person engineering, product, and design organization. By optimizing tooling configurations, automating reporting, and eliminating fragmented management processes, you will directly accelerate ORD’s developer velocity and strengthen operational efficiency. Core Responsibilities 1. Platform Ownership & Strategic Tooling Direction Strategic Vision: Define, implement, govern an AI-led strategy for utilizing Jira for product planning, tracking, and reporting tooling that supports end-to-end portfolio tracking from high-level corporate objectives down to sprint-level stories. E2E Ecosystem Management: Complete ORD ownership of the toolchain (Jira, Jira advanced Roadmaps, AI integrations, Confluence), overseeing architecture, schema updates, workflow management, screen/notification schemes, cu

Are you a self-starter who loves tackling challenging problems in a team-oriented, fast-paced environment? Do you love the idea of living in Vancouver? Our quantitative equity team is expanding, and we are looking for talented individuals whose skills and interests are aligned with the team’s mission to deliver superior investment performance to our clients through a disciplined, systematic investment approach. Jobs within our team lie at the exciting intersection of research, data science, finance, and technology. A culture of innovation, career growth and success through collaboration has enabled us to deliver superior investment performance to our clients for over two decades. Today, our clients entrust us with over $78+ billion USD in financial assets. What You Will Do This is an exciting opportunity for individuals who are passionate about learning the quantitative equity investment management business and excited to tackle a broad range of investment, mathematical, and technology challenges. You will start with a comprehensive training program, learning about various elements of quantitative equity investment management. You will then continue to a specialized group within our team based on a combination of your fit and preference. Your specialized role may involve building, scaling, managing, monitoring, and/or trading our quantitative model and portfolios. You will be supported with coaching and mentorship from senior members of the team. We are creating the conditions for you to grow your career steadily over time. Groups within our team where you can contribute and gain valuable experience include: Investment Process Management Our Investment Process Management (IPM) group plays a central role in building highly scalable, efficient, and robust process management systems. The processes and infrastructure we maintain are critical in the team’s ability to d

The Opportunity Enigma has a unique perspective on the businesses that power the U.S. economy and a lot of interesting data to tell those stories. We’re looking for a strong writer and creative thinker to help us turn our data, insights, and expertise into compelling content that builds Enigma’s voice and brings our work to life. You will help develop the ideas behind our content, not just execute against a brief. You’ll identify interesting stories within our data, develop thoughtful long-form pieces and reports, and help build a consistent content engine across Enigma. This is a contract role working closely with our GTM and Marketing teams and partnering with other teams across the company to uncover ideas, insights, and data worth sharing. What You'll Do Develop compelling, data-driven content. Turn Enigma’s proprietary data, research, and internal expertise into engaging reports, articles, thought leadership, and other long-form content. Generate ideas and uncover stories. Proactively identify interesting trends, insights, and angles within our data that can become differentiated content for Enigma. Own the content calendar. Build and manage a thoughtful editorial calendar that balances timely opportunities, larger research pieces, company priorities, and ongoing content. Write and edit across formats. Create clear, credible, and distinctly Enigma content across long-form reports, web, email, social, and other channels. Build a repeatable content engine. Establish an efficient process from idea → research → draft → review → publication, while identifying opportunities to repurpose and extend strong content across channels. We Are Looking for Someone Who Is an exceptional writer and editor, with experience creating polished long-form content, reports, research, or thought leadership. Has experience creating data-driven content for a technology, fintech, or B2B company, including original research or proprietary data reports, and understands how to extend great c