Senior Applied Scientist (Computer Vision)

Location: Amsterdam, The Netherlands; hybrid work with two office days per week. Candidates must already live in the Netherlands; relocation is not offered.

Company

hirify.global develops real-time maps and location technology for car manufacturers, enterprises, developers, and navigation users.

What you will do

• Develop algorithms and ML solutions for traffic signs, traffic lights, road markings, and other traffic-control features using computer vision and image recognition.
• Design and productionize solutions that extract map information from large-scale, noisy car-sensor and unstructured data.
• Improve feature detection, positioning, road and lane association, and driving-direction matching.
• Drive measurable improvements in recall, precision, and customer-facing map quality.
• Own production pipeline components from input data and feature extraction through evaluation and validated map output.
• Run experiments, document results, use AI tools for problem solving and implementation, mentor junior colleagues, review code, and contribute to hiring.

Requirements

• 4+ years of professional experience in applied science, machine learning, algorithm development, computer vision, or a related field.
• Bachelor’s degree or higher in computer science, machine learning, computer vision, geospatial science, statistics, or another quantitative field.
• Strong fundamentals in algorithms and machine learning, including model development, evaluation, statistics, and experimental design.
• Proficiency in Python, an ML framework such as PyTorch or TensorFlow, and large-scale data processing tools such as Spark or Databricks.
• Experience moving algorithms, ML models, or data pipelines from experimentation into production.
• Experience leading well-scoped technical projects and mentoring junior colleagues.
• Ability to work across data, algorithms, modeling, ground truth, and evaluation rather than only one area of expertise.
• Strong problem-solving skills and ability to independently approach complex and ambiguous problems.
• Proficient written and verbal English communication skills.
• Already living in the Netherlands; relocation is not available for this role.

Nice to have

• Master’s degree or PhD.

Culture & Benefits

• Hybrid work using both the office and home, with three additional working days available from either location.
• Personal development budget, paid learning days, and access to O’Reilly and LinkedIn Learning.
• Enhanced parental leave, paid leave to care for loved ones, and paid volunteering leave.
• Home-office setup budget and monthly allowance.
• Options to work from the home country or abroad for a set number of days each year.
• Competitive holiday plan, birthday leave, annual hackathon and DevDays, and an inclusive international culture with over 80 nationalities.

Hiring process

• Applications are screened, followed by assessments and interviews before onboarding.