Senior Applied Scientist (ADAS)

TL;DR

Senior Applied Scientist (ADAS): Developing high-quality algorithms and ML software for HD maps with an accent on geospatial geometry, signal processing, and large-scale data pipelines. Focus on designing, implementing, and integrating ML systems into production to improve output quality for ADAS and autonomous driving applications.

Location: Must be based in or able to work from the office in Amsterdam, Netherlands (Hybrid: 2 days/week in office)

Company

hirify.global is a global leader in location technology, revolutionizing navigation and mapping through real-time data and advanced ADAS solutions for major automotive and tech partners.

What you will do

• Develop and integrate ML algorithms and data pipelines for HD maps from experimentation to production.
• Improve output quality metrics including recall, precision, latency, and cost.
• Solve complex technical challenges involving noisy sensor data, geospatial geometry, and spatial indexing.
• Own end-to-end components within processing pipelines, ensuring validated outputs for downstream consumers.
• Collaborate with senior engineers and applied scientists using agile methodologies.
• Mentor junior engineers and interns while contributing to the hiring process.

Requirements

• 3+ years of professional experience in Applied Science, Machine Learning, or algorithm development.
• Bachelor’s degree in Computer Science, Machine Learning, Computer Vision, or related quantitative field.
• Solid fundamentals in algorithm design, complexity reasoning, and statistics.
• Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
• Experience with large-scale data processing frameworks such as Spark or Databricks.
• Comfortable with written and verbal communication in English.

Nice to have

• Master’s or PhD in a relevant quantitative field.
• Experience with MLOps, dataset generation, or classical ML on sensor data.
• Knowledge of computer vision techniques like detection and segmentation.

Culture & Benefits

• Competitive compensation package with a personal development budget.
• Flexible hybrid work policy with a home office setup and monthly allowance.
• Enhanced parental leave and paid leave for volunteering or caregiving.
• Access to e-learning platforms like O’Reilly and LinkedIn Learning.
• Annual events including company-wide Hackathons and DevDays.
• Inclusive global culture with over 80 nationalities represented.