Platform - Ml R&d Principal Research/data Scientist jobs at Elastic in Canada

In this role, you'll become the evangelist for Elastic Observability's technical capabilities. You'll set up the infrastructure for product demos, build hands-on workshops, create compelling videos, write insightful blogs, and share your expertise through webinars, ElasticON presentations, and industry conferences. Your work will directly influence how we engage with our community and prospects.

• Maintain and improve demo environments to effectively showcase compelling use cases as new product features are released.
• Develop impactful demos and demo scripts that showcase use cases and workflows that empower the field to deliver differentiated demos and successful POCs.
• Streamline automation and processes to ensure demo maintenance is efficient, reliable, and scalable.
• Provide timely training and update content to enable the field team with the latest product capabilities.
• Develop technical pitch presentations to enable and activate solution architects and other technical resource
• Author technical blogs that highlight Elastic’s technology and platform, driving thought leadership and engagement.
• Deliver technical enablement sessions, including demo recordings and webinars, to educate and encourage.
• Influence the product roadmap by providing market and customer insights that shape priorities.
• Measure and track demo usage and adoption to continuously improve efficiency and impact.
• Represent Elastic at industry events, showcasing our products and engaging with the community.
• Assist in technical benchmarking for competitive intelligence content and evaluation

• Extensive experience in observability, developer tools, or cloud-related domains, with a strong ability to engage technical audiences such as SOC analyst, Threat analyst, Security engineer, Security architect
• Shown ability to build compelling content across various formats, including blog posts, presentations, and videos, that resonates with both technical and non-technical audiences.
• Broad software development expertise, particularly in Python, Go, and shell scripting, with a focus on automating demo environments and workflows.
• Hands-on experience with technologies like Kubernetes, Docker, and Terraform, enabling you to craft and deliver robust demos and proof of concepts.
• Strong familiarity with deploying and operating workloads in cloud environments, specifically within AWS, Google Cloud, or Azure.
• Excellent communication skills, with the ability to clearly explain sophisticated technical concepts to non-experts through blogs, videos, customer discussions, and webinars.
• Comfortable growing in a multi-functional role, collaborating successfully with a highly distributed and diverse team.

• Practitioner-level knowledge and experience in the observability or monitoring domain.
• Previous experience as a Technical Marketing Engineer or Pre-Sales Engineer, particularly with cloud technologies.
• Hands-on experience implementing one or more of Elastic’s solutions in real-world customer environments.

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

The typical starting salary range for this role is:

$146,700—$232,100 CAD

The R&D ML team is responsible for training, testing and optimizing a set of models and pipelines used across the whole stack. As a model architecture lead for retrieval and reranking, you will lead the design and post-training strategies of our next generations of in-house models that will be integrated in our product. While our current generation of models are text only, we plan to add multi modality in the near future.

• Strategic research & technical roadmap definition: identify promising new technologies for text-only and multi-modal models, look into post-training methodologies relevant for retrieval and re-ranking, and champion solutions that will fit best in Elastic.
• Tooling: improve our infrastructure and help scale to accommodate larger models: provide expert guidance on distributing data preparation, training and testing on multiple GPUs, help design, improve and write specs for our compute infrastructure
• Model variants exploration: investigate applying fine-tuning, quantization, distillation and other techniques to existing or upcoming models.
• Technical leadership: foster a culture of innovation and rigorous experimentation, coordinate knowledge sharing within the team; act as a senior technical authority and go-to expert for the modeling, training and testing challenges; mentor more junior members of the team helping them develop their skills and knowledge
• Communication: interact with various leads across the organization, communicate sophisticated concepts to high profile stakeholders, adjust and iterate on the roadmap according to internal and external inputs.

• Excellent comprehension of the industrial and academic state of the art on xLMs, more specifically in retrieval and reranking techniques
• Extensive professional experience in designing, training, and debugging various model architectures as well testing and implementing post-training strategies; proven track record of assessing, proposing and integrating frontier techniques to large scale products.
• 6+ years of professional software development experience in Python (pytorch).
• Experience with large-scale model training (between 0.1 and 7B parameters), distributed training, and model optimization techniques (e.g., quantization, pruning, efficient attention mechanisms).
• Excellent communication skills and gentle approach to leadership
• Strong attention to detail and highly organized

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic

Compensation for this role is in the form of base salary. This role does not have a variable compensation component.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

The typical starting salary range for this role is:

$159,800—$252,800 USD

$191,900—$303,500 USD

The R&D ML team is responsible for training, testing and optimizing a set of models and pipelines used across the whole stack. As a model architecture lead for retrieval and reranking, you will lead the design and post-training strategies of our next generations of in-house models that will be integrated in our product. While our current generation of models are text only, we plan to add multi modality in the near future.

• Strategic research & technical roadmap definition: identify promising new technologies for text-only and multi-modal models, look into post-training methodologies relevant for retrieval and re-ranking, and champion solutions that will fit best in Elastic.
• Tooling: improve our infrastructure and help scale to accommodate larger models: provide expert guidance on distributing data preparation, training and testing on multiple GPUs, help design, improve and write specs for our compute infrastructure
• Model variants exploration: investigate applying fine-tuning, quantization, distillation and other techniques to existing or upcoming models.
• Technical leadership: foster a culture of innovation and rigorous experimentation, coordinate knowledge sharing within the team; act as a senior technical authority and go-to expert for the modeling, training and testing challenges; mentor more junior members of the team helping them develop their skills and knowledge
• Communication: interact with various leads across the organization, communicate sophisticated concepts to high profile stakeholders, adjust and iterate on the roadmap according to internal and external inputs.

• Excellent comprehension of the industrial and academic state of the art on xLMs, more specifically in retrieval and reranking techniques
• Extensive professional experience in designing, training, and debugging various model architectures as well testing and implementing post-training strategies; proven track record of assessing, proposing and integrating frontier techniques to large scale products.
• 6+ years of professional software development experience in Python (pytorch).
• Experience with large-scale model training (between 0.1 and 7B parameters), distributed training, and model optimization techniques (e.g., quantization, pruning, efficient attention mechanisms).
• Excellent communication skills and gentle approach to leadership
• Strong attention to detail and highly organized

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

The typical starting salary range for this role is:

$154,000—$243,600 CAD

We're looking to add a Senior Product Manager to the Platform Team for the Elastic Stack and Elastic Cloud, the official managed service for running Elasticsearch. In this role you will be responsible for defining and delivering core services and components for which our search, observability, and security user experiences are built off of. You will help create and maintain amazing user experiences that help data admins manage their data in Elastic at scale. To be successful, you will bring a strong eye for all things UX, be technically minded, and thrive in cross-functional environments–building consensus across varied stakeholders and use cases.

• Partner to define the vision and strategy for Data Management in Elasticsearch and Kibana and to develop the overall data admin experience
• Partner with Elastic Solution teams across the organization to deliver great user experiences for the data manager personas that simplifies what it means to manage data in Elastic at scale
• Gathering, synthesizing, and disseminating feedback from internal and external customers and the community to develop product insights and support business requirements
• Work closely with our engineering tech leads and UI/UX designers on detailed API design, technical specifications, and high level requirements
• Develop detailed use-cases and product requirements, working closely with engineering teams through the design, development, and release processes
• Define and measure product metrics to monitor performance and growth
• Support product marketing and sales enablement to craft customer-focused messaging and content

• You have 2+ years in product management for a SaaS products and have a deep understanding of SaaS products
• Experience in data management areas of SaaS data platform products
• Excellent ability to distill complex concepts into clear API designs and requirements with a focus on detailed technical domain design
• Strong sense for what makes great UX and technical design. Demonstrate experience working closely with engineering and design teams to collaborate on details
• The ability to dive deeply into the technical understanding of how a product works.
• Open source experience and knowledge of the Elastic Stack, particularly Elasticsearch and Kibana is also a plus
• Excellent spoken and written English communication skills
• Experience or willingness to work in a distributed organization

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

The typical starting salary range for this role is:

$143,300—$188,000 CAD

• Working alongside our software engineers, platform and design team to define product features and initiatives across the Search product for the broad set of search use cases.
• Representing the complete set of personas that use the product and ensure that the flows are coherent across the various personas and life-cycle of product usage.
• Prioritizing the components of the product roadmap and helping ensure feature development can proceed efficiently.
• Gathering market data, customer feedback, customer usage data, and other key information to develop product insights and help drive the product roadmap.
• Meeting with existing and prospective customers to better understand their goals and gather feedback on how our products can best address their challenges.
• Assisting with Product Marketing efforts to develop messaging and collateral and deliver that information to stakeholders both internally and externally.
• Assembling market data, customer feedback, customer usage data, and other key information to develop product insights and help drive the product roadmap.
• Analyzing and addressing competitive dynamics within the product category.

• Proven experience in Product Management, preferably in a developer-focused product environment.
• Outstanding spoken and written communication skills.
• Solid understanding of SaaS and/or IaaS product domains, including common design patterns, workflows, and delivery mechanisms.
• Empathy for customer challenges and needs, turning them into opportunities in the short and long-term.
• Experience building customer value and highlighting competitive differentiation through packaging and pricing.
• A marked interest in new market-defining technologies such as vector search algorithms and machine learning is highly regarded! Expertise in machine learning, GenAI, RAG is a plus but also not required.
• Direct product management experience building search and/or modern workplace productivity products is helpful but not required.

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

The typical starting salary range for this role is:

$154,000—$243,600 CAD

in our team, you will be responsible for technical design and work in key functional areas of Elastic’s Cloud offerings. You will participate in coding, crafting solutions, debugging complex failure scenarios, and prioritizing bug fixes and features. You will analyze the current system, its strengths, and limitations, and think of ways in which to refactor our services to improve our operations and quality of our service. You will also be part of an on-call rotation to address operational events in a timely manner.

• Contribute to the development and evolution of the codebases that power our Elastic Cloud offerings.
• Operate our control plane systems by participating in our on-call rotation and addressing customer support requests.
• Lead standard processes for back-end development with strong ownership.
• Contribute to our technical plans and direction and across other product teams in Elastic.
• Be part of a distributed team of engineers from all across the globe.
• Collaborate with other teams within Elastic when working on cross-team efforts.
• Collaborate with Support engineers in diagnosing problems and coordinating with the Elasticsearch engineers the design of new features.
• Discuss ideas and collaborate on finding good solutions with other engineers.
• Mentor new team members, both junior and senior ones.
• Improve our engineering standards, tooling, and processes

• Strong track record as a software engineer delivering high-quality code within teams.
• Deep understanding of distributed systems architecture and design patterns.
• In-depth experience with a back-end programming language.
• Ability to own projects from beginning to end, from design to delivery.
• Ability to build and debug features with a broad impact, running on multiple machines.
• Deep passion for automation and for raising the quality bar.
• Strong analytical, debugging, and troubleshooting skills.
• Be self-motivated and highly organized.

• Bonus : Technical depth in one or more technologies relevant for SaaS (orchestration, networking, containers, etc.).
• Bonus : Practical knowledge of Elasticsearch.
• Bonus : Production-level experience with the Scala and Go programming languages.

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with a minimum of 16 weeks of parental leave

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below.

These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.

An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.

The typical starting salary range for this role is:

$128,300—$203,000 CAD