Senior Machine Learning Engineer

Squarehead Technology; Oslo; Hybrid; NOK 900,000 - 1,200,000; Full time

Benefits offered by this job

Conference and courses

Subsidised canteen

Subsidised sports activities

Rooftop terrace

Bike and car parking

Shower facilities

Job summary

Squarehead Technology in Oslo seeks a Senior ML Engineer to develop and train models for detecting acoustic events, including drones, using real-world audio data from advanced sensors. You will join a multidisciplinary team of scientists in signal processing, array technology, and data science in a collaborative R&D environment.

The role emphasizes building robust audio AI systems, evaluating performance under challenging acoustics, and contributing to deployment in real-world systems with

Qualifications

• Advanced degree in ML or related field.
• Experience training and evaluating ML models.
• Strong Python programming with ML frameworks.
• Good understanding of classification and detection.
• Ability to work independently and in multidisciplinary teams.
• Strong analytical and problem solving.

Responsibilities

• Curate and maintain high-quality audio datasets for ML.
• Train and evaluate ML models for audio event detection.
• Analyze model performance and robustness under acoustics.
• Collaborate with signal processing, acoustics, and data science teams.
• Support data labeling, validation, and experimental design.
• Research ML methods for audio and acoustic data.

Skills

Python programming

ML model training

Analytical skills

Independent work

English fluency

Education

MSc or PhD in ML/CS/Signal Processing

Tools

PyTorch

TensorFlow

Job description

We are looking for an Senior ML Engineer to join the Research and Development department at Squarehead Technology. In this role, you will work on developing and training machine learning models for detection and classification of acoustic events, including drones and other airborne or ground based targets. You will contribute to building robust audio AI systems using real world acoustic data collected from advanced sensor platforms.

You will be working closely with a team of scientists with expertise in signal processing, array technology, audio event detection and tracking, classification, and data science. The position offers a chance to work in a collaborative environment where machine learning and signal processing come together in solving real life engineering problems.

Responsibilities

• Curate, organize, and maintain high quality audio datasets for machine learning applications.
• Train, evaluate, and improve machine learning models for audio event classification and detection, including drones and other acoustic targets.
• Analyze model performance and enhance performance and robustness under challenging acoustic conditions
• Collaborate closely with scientists and engineers in signal processing, acoustics, and data science.
• Support data labeling, validation, and experiment design for ML development.
• Research and apply relevant machine learning methods for audio and acoustic data.

Required Qualifications

• MSc or PhD in Machine Learning, Computer Science, Signal Processing, Electrical Engineering, Physics, or a related field.
• Experience in training and evaluating machine learning models.
• Strong Python programming skills and experience with ML frameworks such as PyTorch or TensorFlow.
• Good understanding of classification, detection, and model evaluation techniques.
• Ability to work independently and collaboratively in multidisciplinary teams.
• Strong analytical and problem solving skills.
• Fluent written and spoken English.

Personality & Interests

We value curiosity, creativity, teamwork, and the ability to work independently when needed. We are looking for you with strong analytical skills, a genuine interest in machine learning for audio, combined with strong coding skills and the motivation to build robust, reliable systems.

Workplace & Benefits

Working in R&D at Squarehead means working at the intersection of machine learning, DSP, acoustics, and real world systems. The company develops advanced acoustic sensors that have to perform reliably in demanding environments, which creates interesting challenges across everything from signal processing and ML models to embedded deployment and large scale sensor systems.

In addition to the above, we offer:

• Employee development through conferences and courses.
• Easy commute right next to the subway.
• Subsidised canteen.
• Weekly organized physical activity (currently padel tennis and climbing)
• Rooftop terrace for breaks and summer parties
• Indoor bicycle and car parking
• Wardrobe with showers

Practical

We work with partners who require confidentiality and have security requirements that we must ensure our employees can comply with. This position may require security clearance.