Who We Are; What We Do; Where We’re Going
Magnet Forensics is a global leader in the development of digital investigative
software that acquires, analyzes, and shares evidence from computers,
smartphones, tablets, and IoT-related devices. We are continually innovating so
our customers can deploy advanced and effective tools to protect their
companies, communities, and countries.
Serving thousands of customers globally, our solutions are playing a crucial
role in modernizing digital investigations, helping investigators fight crime,
protect assets, and guard national security.
With employees based around the world, Magnet Forensics has been expanding our
global presence. As a part of Magnet Forensics, you can expect to make a
difference in the world, no matter what role you play. You’ll be supported
through learning and development, not to mention an incredible team with
unbelievable talent and integrity.
If you think you would be the right person to join our team working towards this
goal, we would love to hear from you!
Your Role
We are looking for a Senior Machine Learning Engineer to join our AI Research
team, designing, experimenting with, and optimizing cutting-edge ML models that
power our digital forensics capabilities. You will lead the development of new
models, training techniques, and evaluation methods that surface critical leads
and insights for investigators, helping them solve cases faster and with greater
confidence. As part of the Research team, you’ll work closely with Product, UX,
and our Brain team to ensure our models push the boundaries of what’s possible,
while remaining practical for real-world use. You’ll own complex ML projects
end-to-end, including ideation and experimentation, to evaluation and handoff
for integration, working with our team to advance the state-of-the-art in
digital forensics.
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What You Will Accomplish:
- Design, implement, and evaluate state-of-the-art machine learning models.
Lead experiments, define metrics, and iterate to improve performance,
efficiency, and reliability;
- Collect, build, and work with complex, real-world datasets, developing
preprocessing, augmentation, and feature engineering techniques that enhance
model training and fairness;
- Collaborate cross-functionally with our Brain team to ensure models are
production-ready, scalable, and meet real user needs.
- Stay at the forefront of ML research, assessing new techniques, frameworks,
and trends, and translating them into practical innovations for our products;
- Mentor other engineers on ML best practices, experimental design, and
technical decision-making;
- Contribute to building reusable research infrastructure and tooling that
accelerates experimentation and improves reproducibility;
- Ensure ethical and responsible AI practices are integrated into model design,
training, and evaluation.
Why You’ll Love This Role:
- In your first 90 days, you’ll get hands-on with our Research team,
experimenting with real-world datasets and evaluation pipelines to improve
the accuracy, efficiency, or robustness of our models. You’ll collaborate
closely with Product, UX, and Brain to ensure your work addresses
investigator needs and is ready for integration into production systems. By
the end of your first three months, you’ll have taken ownership of a key
research initiative, delivering results that directly advance our AI
capabilities and lay the groundwork for future innovations.
What We Are Looking For:
- We’re looking for someone who checks off most, but not all, of the boxes
listed in “skills and experiences”. It’s more important to us to find
candidates who can display indicators of success through skills they have
developed and experiences they have been a part of, than to find folks who
have ‘been there, done that”. We want to be part of your development
journey, and we’ll learn as much from you as you learn from us.
Required Skills:
- 5+ years of professional experience in machine learning or applied AI, with a
track record of delivering models into production or production-ready
pipelines;
- Strong Python programming skills, with experience in building maintainable,
scalable ML codebases;
- Experience designing and running experiments, selecting appropriate
evaluation metrics, and interpreting results to guide iteration;
- Hands-on experience with deep learning frameworks (eg, PyTorch, TensorFlow)
and deployment frameworks (eg, Triton, TorchServer);
- Experience working with large, complex, and/or unstructured datasets;
- Understanding of the trade-offs between model complexity, accuracy, training
cost, and inference speed;
- Ability to work cross-functionally with engineers, researchers, product
managers, and designers;
- Strong communication skills for both technical and non-technical audiences;
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a
related technical field, or equivalent practical experience in applied ML
research and engineering.
Nice to Have:
- Experience with self-supervised, multimodal, or retrieval-augmented learning
approaches;
- Background in NLP, computer vision, or other relevant ML domains;
- Familiarity with MLOps tooling (eg, experiment tracking, model versioning,
CI/CD for ML);
- Experience mentoring engineers or leading ML research initiatives;
- Contributions to open-source ML projects or publications in peer-reviewed
venues;
- Experience working with cloud providers like AWS or Azure is an asset.
The Most Important Thing:
- We’re looking for candidates that can provide examples of how they have
demonstrated Magnet CODE in their previous experiences:
- CARE – We care about each other and our mission to make a difference in the
world.
- OWN – We are accountable for our results – while never forgetting to act with
integrity, empathy, and respect.
- DEDICATE – We put our heart and soul into meeting the needs of our customers
and helping them serve the people they protect.
- EVOLVE – We are constantly innovating and exploring new ways to work together
to make an impact with our work.
Compensation & Benefits
- The Compensation Range is for the primary location for which the job is
posted. Please note that the actual compensation may vary depending on
location and job-related factors such as qualifications, experience,
knowledge and skills. If you are applying for this role outside of the
primary location and you are selected for an interview, the Talent
Acquisition Partner can share more information with you. If the compensation
structure for the role includes an incentive component (ie. most Sales roles)
the range below represents total target compensation (TTC) (base salary +
variable)
Compensation Range:
- MIN: $111,300 - MID: $159,000 - MAX:$190,800 CAD
Magnet is proud to offer benefits such as:
- Generous time off policies
- Competitive compensation
- Volunteer opportunities
- Reward and recognition programs
- Employee committees & resource groups
- Healthcare and retirement benefits
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Here at Magnet Forensics, we are committed to continuous learning and are
focused on building a diverse and inclusive workforce. This commitment will be
reflected in our hiring processes and embedded in our values and how we treat
one another. If you’re interested in this role, but do not meet all of the
qualifications listed above, we encourage you to apply anyways.
Magnet Forensics is an Equal Opportunity Employer and considers applicants for
employment without regard to race, colour, religion, sex, orientation, national
origin, age, disability, genetics or any other basis forbidden under federal,
provincial, or local law. We are committed to providing an inclusive, accessible
recruitment process and work environment. Accommodation is available to all
applicants upon request throughout the hiring process. Please contact
aoda@magnetforensics.com [aoda@magnetforensics.com] should you require any
accommodations.
All offers of employment at Magnet are contingent upon satisfactory completion
of a background check. All background checks will be conducted in accordance
with all applicable laws. Magnet will consider each position’s job duties, among
other factors, in determining what constitutes satisfactory completion of the
background check. Refusal to consent to a background check may be grounds for
revoking an offer of employment.
US Applicants: Magnet Forensics participates in E-Verify and will provide the
federal government with your Form I-9 information to confirm that you are
authorized to work in the U.S.
