Benefits:

• Competitive compensation

• Health insurance coverage

• RRSP program with employer matching contribution

• Frequent office and social events

• Your birthday is a free day

Experience Requirements:

• Proven experience building production-grade agentic systems

• Hands-on experience with LLM context patterns (RAG, context windows)

• Proficiency in Python, SQL, and ETL patterns

• Experience with vector databases and semantic search

• Experience setting up LLM evaluation workflows

Other Requirements:

• Foundational ML knowledge

• Fluent in French and English

• Ability to balance expensive LLMs with deterministic logic

Responsibilities:

• Architect and implement interaction logic for multi-agent ecosystems

• Design and build data pipelines for AI queryability

• Handle real-time data access at scale

• Build clean, fast interfaces for AI orchestrator context access

• Implement strict validation layers to prevent hallucinations

Benefits:

• Competitive compensation

• Health insurance coverage

• Frequent office and social events

• Your birthday is a free day

• Annual public transit & sport activity allowance

Experience Requirements:

• 5+ years of professional experience within product-oriented companies

• Experience evolving in Agile/Scrum development cycle

• Excellent understanding of service-oriented architecture

• Strong skill set in C# and experience developing Restful APIs

• Experience data modelling with NoSql and SQL databases

Other Requirements:

• Fluent in French and English

• Experience with Micro service & Docker architectures

• Experience developing and deploying products on Amazon AWS

• Strong analytical skills

• Ability to work in fast paced start up Agile development environment

Responsibilities:

• Implement features defined by product managers & designers

• Design, develop & deploy high quality software using Agile methodology

• Work with SQL and no-SQL databases

• Work on the Amazon AWS Cloud platform and associated services

• Participate in Agile sprint planning, demos, and peer code reviews

Benefits:

• Be part of a passionate, global team

• Work in a collaborative, innovative culture

• Enjoy autonomy to make a difference

• Support of top-notch teammates

• Shape the way the world watches and learns sports

Experience Requirements:

• 5+ years of proven success in sales and/or business development

• A strong network and deep understanding of the Australia and New Zealand sports ecosystem

• A consistent track record of meeting or exceeding goals

• Experience working with CRM systems

Other Requirements:

• Strategic thinking and the ability to work independently

• Excellent presentation and communication skills

• A proactive, hands-on attitude

• Tech-savvy mindset

• Experience selling to the education sector in Australia or New Zealand

Responsibilities:

• Identify, develop, and manage strategic partnerships with sports leagues and associations

• Build long-term relationships that drive adoption and recurring revenue

• Execute commercial agreements and own the full partner lifecycle

• Collaborate cross-functionally with global sales, marketing, and product teams

• Represent Pixellot’s brand in the Australia and New Zealand market

Benefits:

• Be part of a passionate, global team

• Work in a collaborative, innovative culture

• Enjoy autonomy to make a difference

• Support of top-notch teammates

• Shape the way the world watches and learns sports

Experience Requirements:

• 5+ years of proven success in logistics or operations management

• A deep understanding of the Australia and New Zealand sports ecosystem

• Experience working with CRM systems

• Tech-savvy mindset – experience working with tech or SaaS solutions

Other Requirements:

• A methodical and strategic mindset to working at scale

• Excellent presentation and communication skills

• A proactive, hands-on attitude

• Background in sports coaching, sports tech, analytics or broadcast

Responsibilities:

• Work with partner sporting organizations to plan and lead camera installations

• Develop key relationships with qualified installers

• Identify, develop, and manage systems and processes for installation goals

• Ensure installations are executed in accordance with manuals and agreements

• Collaborate cross-functionally to ensure suitable stock levels

Benefits:

• Medical insurance

Benefits:

• Medical insurance

Benefits:

• Equity for all

• High-impact work with autonomy

• Clear paths to grow

• Accelerate growth across AI, robotics, and leadership

Education Requirements:

• Degree

Experience Requirements:

• 9–15 years of relevant experience

• At least 2 years in a leadership or team management role

Other Requirements:

• Willing to travel 50–60%, including internationally

• Strong understanding of robotics, automation, and troubleshooting

• Exceptional communicator with executive presence

• Legally authorized to work in the United States

Responsibilities:

• Lead planning, installation, and commissioning of Apera’s vision systems

• Develop and coach a high-performing FAE team

• Oversee customer onboarding and training programs

• Collaborate with Engineering/Product to drive product feedback

• Track operational KPIs - uptime, adoption, and deployment quality

Benefits:

• Medical Insurance

• Competitive Incentive Program

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in Canada

• Fluent/Native in English

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• High degree of confidentiality required

Benefits:

• Medical Insurance

• Competitive Incentive Program

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in Canada

• Fluent/Native in Indonesian

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Grammar, punctuation, and spelling proficiency in the assigned language

Benefits:

• Medical Insurance

• Competitive Incentive Program

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in Canada

• Fluent/Native in Lao/ Laotian

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• High degree of confidentiality required

Benefits:

• 100% coverage for health plans

• 401K

• Flexible PTO

• Stock options

Education Requirements:

• No specific degree is required

Experience Requirements:

• Minimum of 3 years of relevant software engineering experience (Python)

• At least 1 year of practical experience leveraging Generative AI

Other Requirements:

• U.S. Citizenship

• Possess and maintain a Secret or Top Secret security clearance

• Background check and fingerprinting

• Work from customer location on a daily basis

• Willingness to travel (50%)

Responsibilities:

• Understand customer business processes to identify AI value areas

• Architect, develop, and maintain GenAI Agents and plugins using Python

• Embed with customers to provide technical leadership and hands-on support

• Build innovative GenAI features and full-stack solutions

• Implement best practices for code quality, security, and performance

Benefits:

• Company events, tours, trips, and celebrations

• Training programs

• Meal allowance every month

• Flexible working hours

• Cutting edge technological environment

Experience Requirements:

• 3-5 years of Software/Integration projects (Customer facing)

• Hands-on experience in integration of frontend, backend, and infrastructure

• Experience with project management tools

Other Requirements:

• Great interpersonal and communication skills

• Problem solver and analytical skills

• Native English language level

• Sales oriented

Responsibilities:

• Play major part in pre-sale and post-sale processes

• Translate business requirements into technical elements

• Ensure SOW is delivered within budget and timelines

• Hands-on involvement in system integration

• Manage technical communication with clients

Benefits:

• Competitive base salary

• Annual bonus based on company performance

• Flexible working options available for most roles

• Learning and career development

• Access to healthcare & wellbeing programmes

Education Requirements:

• A minimum of a master’s degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field

• A PhD in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field

Experience Requirements:

• Proven experience in machine learning engineering

• Extensive experience in Python programming and knowledge in machine learning and statistics

• Demonstrated proficiency working with clinical trial data in an academic or professional setting

• Familiarity with at least one Deep Learning framework such as TensorFlow, Keras or PyTorch

• Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices

Other Requirements:

• Ability to work both autonomously and collaboratively on complex projects

• Academic or industry experience in the biomedical sciences especially in respiratory diseases

• Prior experience working in clinical trials

• Experience with real world evidence

• Expertise developing machine learning models within the PyTorch framework

Responsibilities:

• Design and implement novel scientific approaches to uncover and explain key relationships within a multitude of biological data types.

• Leverage data and insights to produce robust, explainable, and accurate predictions across a variety of key biological and clinical tasks.

• Connect and collaborate with subject matter experts in biology, genomics, and medicine.

• Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models.

• Develop and embed automated processes for predictive model validation, deployment, and implementation.

Benefits:

• Personalized and flexible agile work model

• Involvement in strategic and innovative projects

• Growth, training, and certification support

• Positive company values

Education Requirements:

• Security certifications are considered a plus

Experience Requirements:

• At least 5 years of experience in similar roles

• Experience investigating and responding to different types of attacks

• Experience with security tools like SIEM, SOAR, EDR

Other Requirements:

• Good knowledge of Windows, macOS, and GNU/Linux

• Knowledge of scripting languages like Python, PowerShell, Bash

• Knowledge of Microsoft Azure, Entra ID, Suite Defender, Intune

• Knowledge of DNS and TLS certificates

Responsibilities:

• Maintain and oversee corporate security tools

• Monitor IT infrastructure for suspicious activities using SIEM

• Analyze security logs to identify potential threats

• Respond quickly to security incidents to mitigate threats

• Coordinate security patch management to fix vulnerabilities

Benefits:

• Competitive compensation package including equity and bonuses

• Excellent Medical, Dental, and Vision plans

• Accrued PTO and 10 paid holidays

• Fidelity 401(k)

• Wellbeing Benefits

Experience Requirements:

• Experienced in Manufacturing and/or Lean Manufacturing

Other Requirements:

• Ability to read electrical harness diagrams and mechanical prints

• Proficient with measuring instruments and math

• Solid hands-on background

• Clear communication

• Innovative mindset

Responsibilities:

• Modifications and maintenance to autonomous vehicle platforms

• Building sub-systems and harnesses on bench

• Inspect and certify quality of work

• Work with engineers to aid development of hardware systems

• Create and maintain vehicle work instructions

Benefits:

• Competitive compensation package

• Medical, dental, and vision insurance

• RRSP plan with 4% employer match

• Public Transit Subsidy (Montreal)

• Flexible schedule and generous vacation

Education Requirements:

• Bachelor's in Computer Science, Software Engineering, or related field

• Master's in Computer Science, Software Engineering, or related field

Experience Requirements:

• 6+ years applied MLE experience (w/ Bachelors)

• 3+ years applied MLE experience (w/ Masters)

• Experience with AV or robotics localization

• Proficiency with PyTorch

• Understanding of 3D geometry and spatial transforms

Other Requirements:

• Python or C++ skills

• English language proficiency

• Experience with large multimodal datasets

Responsibilities:

• Design and optimize ML models for localization

• Develop high-performance training workflows

• Integrate localization models into autonomy stack

• Analyze failure cases and drive experimentation

• Contribute to system design and documentation

Benefits:

• Competitive compensation package

• Medical, dental, and vision for full-time employees

• RRSP plan with a 4% employer match

• Public Transit Subsidy (Montreal)

• Flexible schedule and generous vacation

Education Requirements:

• Master's or PhD in Computer Science, Electrical Engineering, or Robotics

Experience Requirements:

• 10+ years in deep learning for perception or 3D vision

• Expertise in BEV modeling and 3D scene understanding

• Strong background in multi-modal sensor fusion

• Proficiency in Python and PyTorch/TensorFlow

• Experience with distributed training

Other Requirements:

• English language proficiency

• Knowledge of MLOps tools like Ray

• Mentorship of technical teams

Responsibilities:

• Lead BEV model development roadmap

• Design advanced multi-modal architectures

• Own large-scale training workflows

• Establish evaluation frameworks

• Mentor and guide ML engineers

Benefits:

• Health Insurance

• Dental Insurance

• Vision Insurance

• Life Insurance

• Short-Term Disability

Education Requirements:

• Bachelor's Degree required, preferred in Business, Communication, Health Policy, Life Sciences, Healthcare

Experience Requirements:

• 1-2 or more years of Pharmaceutical or B2B sales / or relevant healthcare/clinical educational experience

Other Requirements:

• Experience establishing communication and engagement with customers

• Some overnight travel required

Responsibilities:

• Build a multi-specialty group of important accounts within several customer segments

• Contact potential customers and negotiate product formulary acceptance

• Obtain contract commitments for CSL Seqirus products

• Deliver flu portfolio product sales in important accounts

• Develop appropriate value-added programs for each account

Experience Requirements:

• 4+ years of hands-on experience in AML, ideally in fintech or banking

• Proven experience preparing and filing SARs

• In-depth knowledge of BSA/AML laws and regulations (BSA, PATRIOT Act, OFAC)

• Familiarity with financial crime risks specific to digital payments

• Familiarity with regulatory bodies such as FinCEN or FATF

Other Requirements:

• AML-related certifications (e.g., CAMS, CGSS) preferred

• Strong analytical mindset

• Excellent verbal, written, and presentation skills

Responsibilities:

• Independently investigate and resolve complex alerts and cases from transaction monitoring systems

• Prepare, review, and recommend filing of Suspicious Activity Reports (SARs)

• Conduct Enhanced Due Diligence (EDD) on high-risk users and transactions

• Assist in tuning and optimizing transaction monitoring rules

• Mentor and provide guidance to junior team members