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Added 1 day ago
GI
Expert Data Science Developer
GIRO Inc. / Le Groupe en informatique et recherche opérationnelle
Montréal, QC
- Full-time
…action, advances our impact around the world. Join us and let’s lead the way forward,…
Added 1 day ago
UT
Développeur(se) principal(e), Opérations de sécurité et intervention en cas d’incident / Senior Security Operations and Incident Response Engineer
Unity Technologies SF
Montréal, QC
- Full-time
Our SecOps team is seeking a senior, hands-on security engineer to serve as the team’s technical lead during Americas hours.
Added 1 day ago
Cloud Automation & AI Architect
Open Text Corporation
Waterloo, ON · Richmond Hill, ON · Mississauga, ON
As a Lead Automation Architect, you will establish the technical foundation of this initiative designing architectures, frameworks, and reusable patterns that empower teams to build…
Added 1 day ago
Application Segmentation Engineer
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
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Senior IAM Engineer (Ping Identity/CIAM), Global Deloitte Technology
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
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Architect Manager (2-year Fixed Term), Deloitte Global Consulting Services
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
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Cyber Agentic AI Analyst, Deloitte Global Technology
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
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Manager, Actuarial Insurance Solutions (AIS) - Life & Health (Toronto)
Deloitte
Toronto, ON
Lead engagement teams on projects including IFRS 17, advanced analytics, Robotics Process Automation (RPA), and actuarial transformation.
Added 1 day ago
Technical Product Manager, Deloitte Global CoRe
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
Application Security Analyst, Deloitte Global Technology
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
AM
Diagnostics Software/Hardware Technical Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…earlier in the production lifecycle. We are seeking a visionary Lead/Principal Diagnostics Engineer to drive our shift from proven post-silicon software validation frameworks and…
Added 1 day ago
PG
Senior Associate Data Engineering (Azure/Databricks) Hybrid
Publicis Groupe Holdings B.V
Toronto, ON
- Full-time
…to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data and AI…
Added 1 day ago
C-
Senior Software Engineer
Canada - Genesys Cloud Services Corp.
ON
- Full-time
Lead exploratory testing initiatives and user-focused validation to improve real-world customer experience and usability
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Software and Hardware Senior Engineering Specialist (SWEL)
Bombardier
Dorval, QC
Registration is required
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Aircraft Level Systems Engineering Professional Senior, Conceptual System Design
Bombardier
Dorval, QC
…Product Integration (aircraft architecture) team, you will play a lead role in developing and governing the company’s system-level conceptual design and sizing tools. You will be…
Added 1 day ago
Associate - Generalist - Montreal / Toronto (2027 Start Date) | Responsable de projets - Généraliste - Montréal / Toronto (Date de début 2027)
Analysis Group, Inc.
Montréal, QC · Toronto, ON
Candidates must have valid post-graduation work authorization to join the firm
Added 1 day ago
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Staff Engineer, Applied AI
Headstart
Toronto, ON
- $265,000 USD / year
- Full-time
- Hybrid
- Operate as technical lead on complex and ambiguous client engagements end-to-end, from ideation and discovery through to production
Added 1 day ago
BP
Lead Applied Scientist - Signal Processing & Machine Learning- AquaEye
BLANKSLATE Partners
Vancouver, BC
- Full-time
Lead the exploration and interpretation of raw sonar and sensor data to understand the information contained within the signal.
Added 1 day ago
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Senior AI Engineer, Legal - USA Remote
Danaher
London, ON
- Full-time
Ship production-grade AI features. Write clean, well-tested code (Python and/or TypeScript) to deliver production applications using LLM APIs, orchestration frameworks (e.g., LangChain,…
Added 1 day ago
D
Senior AI Engineer, Legal - Canada Remote
Danaher
London, ON
- Full-time
Ship production-grade AI features. Write clean, well-tested code (Python and/or TypeScript) to deliver production applications using LLM APIs, orchestration frameworks (e.g., LangChain,…
Added 1 day ago
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Senior Business Solutions Architect
Danaher
London, ON
- $130,000 to $135,000 CAD / year
- Full-time
Lead end-to-end CRM Analytics and business intelligence initiatives by guiding solution architecture, technical design, implementation, governance, and stakeholder adoption while…
Added 1 day ago
MI
Actuarial Associate (Ontario)
Millennium Insurance Corporation
Sherwood Park, AB
- Full-time
The successful candidate will work closely with underwriting, finance, claims, and IT stakeholders, lead components of actuarial studies and regulatory deliverables, and play a key role in…
Added 1 day ago
C
Senior Solutions Engineer
ChapsVision
Montréal, QC
- $130,000 to $170,000 CAD / year
- Full-time
As a Senior Solutions Engineer, you will serve as a senior technical lead on our most strategic and complex customer engagements. You will architect scalable search solutions, drive…
Added 1 day ago
O
Principal Software Engineer
Owl.co
Toronto, ON
- $220,000 to $300,000 CAD / year
- Full-time
We have engineering hubs in New York City and Toronto, and this role is 5 days per week onsite in one of those offices
Added 1 day ago
C
DevOps Engineer (ML Infrastructure)
Capgemini
Toronto, ON
- $72,056 to $138,940 CAD / year
…infrastructure specialists to deliver highly available services, improve developer productivity, modernize infrastructure, and drive innovation through automation and AI-assisted…

BLANKSLATE Partners

Lead Applied Scientist - Signal Processing & Machine Learning- AquaEye

Vancouver, BC, Canada

Salary range: $120,000 – $180,000 · Full-time

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Job details

Pay: Salary range: $120,000 – $180,000
Job type: Full-time
Experience: Approximately 5+ years of relevant industry, applied research or product-development experience.
Posting language: English
Posted: Oct 5, 2026

Original job description

AquaEye is a fast-growing technology company transforming the global water rescue industry through rapid-deployment intelligent sonar solutions. Our flagship product, AquaEye, is a handheld sonar device designed to help first responders locate drowning victims faster and more effectively.

As we continue to advance AquaEye's detection capabilities and develop new products, we are looking for a hands-on Applied Scientist with deep experience working with complex real-world sensor data, signal processing, acoustics, sound engineering, sonar, or related scientific data.

This role sits at the intersection of signal processing, data science, machine learning and embedded product development.

We are particularly interested in someone fascinated by the data underneath the algorithm: understanding what our sonar signals contain, identifying and extracting meaningful information from noisy real-world data, determining which features matter, and using that understanding to develop effective detection methodologies and machine learning solutions.

You do not need to come from the water-rescue industry or have worked specifically with AquaEye's technology. Experience interpreting complex signals in fields such as sonar, acoustics, audio/sound engineering, radar, medical devices, telecommunications, geophysics, remote sensing, robotics, industrial sensing or other sensor-based systems may be highly transferable.

This is a highly hands-on role within a small, collaborative product-development team. You will work closely with hardware, embedded software, engineering and product leadership to help determine the next generation of AquaEye's core detection technology.

Job Responsibilities:

Signal Processing & Applied Data Science

Lead the exploration and interpretation of raw sonar and sensor data to understand the information contained within the signal.
Design, evaluate and improve signal-processing methodologies used to extract meaningful features from complex and noisy real-world data.
Investigate signal characteristics across different environments and operating conditions to understand sources of noise, variability and performance degradation.
Apply techniques such as filtering, spectral analysis, time- and frequency-domain analysis, feature extraction and Fourier transforms, where appropriate.
Determine which characteristics of the underlying data are most useful for detection and classification.
Develop experimental approaches to distinguish meaningful signal from environmental noise and other confounding factors.
Work closely with hardware and embedded engineering teams to understand how sensor design, device configuration and operating conditions influence data quality.

Machine Learning & Algorithm Development

Design and develop detection methodologies using the most appropriate combination of signal processing, statistical methods, machine learning and algorithmic approaches.
Develop, train, validate and deploy machine learning models where ML provides meaningful value.
Evaluate both simple and complex approaches rather than assuming a particular ML architecture is the answer.
Convert scientific and algorithmic concepts into production-quality code for embedded and/or cloud environments.
Define meaningful performance metrics, with particular attention to false positives, false negatives, generalization and performance across different operating environments.
Continually experiment with and evaluate new approaches to improve detection performance.
Optimize algorithms and models for performance within embedded hardware constraints.

Data Strategy & Field Experimentation

Help define what data AquaEye needs to collect to improve its detection capabilities.
Design experiments and field-data collection initiatives that test specific hypotheses and address gaps within existing datasets.
Establish methodologies for data cleaning, preprocessing, labelling, quality assurance and validation.
Identify biases, gaps and underrepresented operating conditions within existing datasets.
Build datasets that represent the range of real-world environments in which AquaEye is deployed.
Develop rigorous approaches for evaluating whether improvements observed during development generalize to real-world field conditions.

Product Development & Technical Direction

Work alongside Product, Hardware, Embedded Software and executive leadership to define the technical roadmap for AquaEye's detection capabilities.
Translate scientific findings into practical product improvements.
Help determine when challenges should be addressed through better data, signal processing, algorithm development, machine learning, hardware changes, or a combination of approaches.
Participate in field testing, customer trials and product validation.
Communicate complex scientific and technical concepts clearly to both technical and non-technical stakeholders.
Contribute to the longer-term development of AquaEye's data science and machine learning capabilities.

Technical Leadership & Team Development

Serve as a senior technical resource within the product-development team.
Provide technical guidance and mentorship as AquaEye's data science and ML capabilities grow.
Establish rigorous scientific and engineering practices around experimentation, validation, documentation and reproducibility.
Conduct technical reviews and encourage knowledge sharing across engineering disciplines.
Help define the skills and capabilities required as the future data science/ML team expands.

Requirements

Bachelor's, Master's or PhD in Engineering, Computer Science, Mathematics, Physics, Acoustics, Signal Processing, Data Science, or another relevant quantitative discipline.
Approximately 5+ years of relevant industry, applied research or product-development experience.
Demonstrated experience working directly with raw signals, sensor data or other complex physical-world datasets.
Strong understanding of signal processing and/or time-series data analysis.
Experience investigating noisy real-world data and identifying meaningful features, patterns and sources of variability.
Strong Python skills and experience with scientific/data-processing and machine-learning libraries.
Experience developing algorithms and/or machine-learning models from initial data exploration through validation and implementation.
Experience with data cleaning, preprocessing, feature engineering, model development and experimental design.
Ability to translate mathematical or scientific concepts into working software.
Experience collaborating with hardware, software or multidisciplinary engineering teams.
Strong technical communication and documentation skills.
Curiosity and a willingness to work directly with unfamiliar data to understand why something is or isn't working, rather than treating the ML model as a black box.

Highly Valued Experience:

We don't expect candidates to have every one of these. We are particularly interested in candidates bringing depth in one or more of the following areas:

Sonar, underwater acoustics or hydroacoustics
Acoustics, audio or sound engineering
Signal processing
Radar, lidar, remote sensing or other wave-based sensing technologies
Digital signal processing (DSP)
Spectral analysis and Fourier transforms
Time-series or multidimensional sensor data
Detection, classification and pattern recognition
Embedded systems and resource-constrained computing
C or C++ development
Edge ML or embedded ML
PyTorch and/or Scikit-learn
AWS or Azure
MLOps and production model lifecycle management
Data acquisition and experimental design for physical systems
Experience with safety-critical or high-reliability products
IP development or patent strategy

Additional Assets

Previous experience taking a scientific concept from experimentation into a commercial product.
Experience conducting field experiments and collecting real-world sensor data.
Experience mentoring scientists, engineers or technical team members.
Experience helping establish or grow a data science, signal-processing or ML capability within an organization.
Comfort participating in open-water field testing year-round with appropriate PPE

Benefits

What We Offer

As a company we aim to build innovative technology that puts people and their lives first. We apply the same approach to the way we run our company. We aim to pay fairly compared to other organizations of similar size in Vancouver and we reward for growth, as we grow.

Salary range: $120,000 – $180,000
Competitive salary and performance-based incentives.
Employee ownership opportunities.
Health, dental, and vision coverage.
4 weeks paid vacation plus company closure between Dec 24 – Jan 1.
Flexible and dynamic work environment.
Opportunity to directly impact the design and development of end product
Opportunity to work on a variety of tasks and be a part of the creation process of new products

DEI Statement:

VodaSafe is a values-driven company that is deeply committed to building an equitable and diverse workforce.

We recognize that our greatest asset is our team. We encourage each team member to be their true, authentic selves. Curiosity, ambition, humility and empathy are at the base of everything we do. We welcome diverse perspectives, educational backgrounds and experiences in order to best serve our team, our customers and our community.

Inclusion Statement:

Hesitant to Apply?

VodaSafe is an equal-opportunity employer. Throughout our hiring process, we make certain that all qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, skin colour, sex, sexual orientation, gender identity, national origin, age, or disability.

Research has shown that women and people of colour are less likely to apply for a position if they do not meet all of the qualifications listed in the job advertisement. At VodaSafe, we hire for potential. We recognize that no two journeys are the same - how you have gained and collected your skillset is unique to your experiences. We want to encourage you to apply even if all criteria on the job posting are not met.

Apply on apply.workable.com About employer

More about this job

Responsibilities

The Lead Applied Scientist at AquaEye will study raw sonar and sensor data, design signal-processing and machine learning methods to detect drowning victims, and run field tests to confirm the results hold up in real conditions. They will also help set the technical direction and mentor the growing data science team.

Requirements

Candidates need a quantitative degree and about 5+ years of applied research or product development work with raw sensor or signal data. Strong Python and machine learning skills, plus experience turning algorithms into production code and communicating with hardware and product teams, are required.

Skills

Python
Scikit-learn
PyTorch
signal processing
digital signal processing
time-series analysis
spectral analysis
Fourier transforms
filtering
feature extraction
feature engineering
statistical modelling
machine learning model development
experimental design
data cleaning and preprocessing
data labelling and validation
sonar
underwater acoustics
C
C++
embedded systems
edge ML
AWS
Azure
MLOps

Benefits

Health, dental and vision coverage
Four weeks paid vacation
Performance-based incentives
Employee ownership opportunities

Keywords

applied scientist
signal processing
machine learning
sonar
acoustics
time-series analysis
sensor data
Python
Scikit-learn
PyTorch
embedded systems
C++
edge machine learning
spectral analysis
Fourier transform
digital signal processing
data science
water rescue
hydroacoustics
AWS

Seniority

Lead

Perks

Generous paid time off
Performance bonus

Tools

Python
Scikit-learn
PyTorch
AWS
Azure
C++
sonar

Languages

English

Fields of study

Engineering
Computer Science
Mathematics
Physics
Acoustics

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