Senior Machine Learning Engineer (Magnet-Griffeye)

Gothenburg - Sweden

Monthly Salary: Not Disclosed

Posted on: 12 hours ago

Vacancies: 1 Vacancy

Job Summary

Who We Are; What We Do; Where Were 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. Youll 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!

Role Overview

We are looking for a Senior Machine Learning Engineer to join our team designing experimenting with and optimizing applied ML and AI systems that power our digital forensics capabilities. You will lead the development of new models training techniques evaluation methods and AI-powered systems that surface critical leads and insights for investigators helping them solve cases faster and with greater confidence. As part of this team youll work closely with Product UX and our Brain team to ensure our models and systems advance whats possible while meeting real-world constraints. Youll own complex initiatives 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.

What Youll Do

Design implement and evaluate state-of-the-art ML/AI models and systems;
Lead experiments define success metrics build evaluations 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;
Design and prototype agentic workflows where models reason plan call tools and collaborate with other systems to accomplish complex tasks;
Collaborate cross-functionally with our Brain team to ensure models are production-ready observable scalable and meet real user needs;
Stay at the forefront of ML/AI research assessing new techniques frameworks and trends and translating them into practical innovations for our products;
Contribute to building reusable research infrastructure and tooling that accelerates experimentation and improves reproducibility;
Ensure ethical responsible and secure AI practices are integrated into model design training and evaluation;
Mentor other engineers on ML and AI best practices experimental design evaluation methodology and technical decision-making.

What Were Looking For

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 systems;
Experience designing and running experiments selecting appropriate metrics and evaluating models;
Practical experience working with large language models in production or research prototypes including prompt engineering fine-tuning or adaptation and/or retrieval-augmented generation;
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 with a strong understanding of trade-offs between model quality cost inference speed and system complexity;
Ability to work cross-functionally with engineers researchers product managers and designers;
Strong communication skills for both technical and non-technical audiences;
Bachelors or Masters degree in Computer Science Machine Learning or a related technical field or equivalent practical experience in applied ML research and engineering.

Nice to Have Skills

Experience with agentic systems tool calling multi-step reasoning workflows or LLM evaluation frameworks;
Familiarity with vector databases embedding models and context retrieval strategies;
Background in NLP computer vision or other relevant ML domains;
Familiarity with MLOps tooling (eg experiment tracking model versioning CI/CD for ML);
Contributions to open-source ML projects or publications in peer-reviewed venues;
Experience working with cloud providers like AWS or Azure;
Experience working with AI tools as part of your development workflow (eg Claude GitHub Copilot etc.)

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 (i.e. most Sales roles) the range below represents total target compensation (TTC) (base salary variable).

MIN: 623000 - MID: 890000 - MAX:(SEK) a year

Position Type:Current Vacancy

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

Indicators of Success

Were looking for someone who checks off most but not all of the boxes listed in skills and experiences. Its 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 well learn as much from you as you learn from us.

How We Work

At Magnet Forensics we take a hybrid-flexible approach to support your productivity and work-life balance. If youre within a comfortable travel distance to one of our offices youll occasionally join us in person. How often youll come in depends on your department and team needs typically ranging from weekly to monthly. These in-person moments help us build stronger connections spark new ideas and celebrate our successes together. Most days you can choose what works best for you while staying in tune with your teams goals.

Were excited to welcome you to our team and look forward to achieving great things together - both in the office and wherever you work best!

The Most Important Thing

Were 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.

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 youre 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 emailprotectedshould 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 positions 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.

Magnet Forensics handles and uses personal data of job applicants in line with itsRecruitment Privacy Policyfoundhere.

Required Experience:

Senior IC

Who We Are; What We Do; Where Were GoingMagnet 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 a...