Role overview
MyHeritage is the leading global discovery platform for exploring family history. With billions of historical records and family tree profiles, and with sophisticated matching technologies that work across all its assets, MyHeritage gives users the joy of discovering their past and empowering their future. MyHeritage is the most popular DNA test and family history service in Europe. Since 2020, MyHeritage is also home to the world's most advanced AI technologies for repairing, enhancing, colorizing, and animating historical photos. Learn more at www.myheritage.com. See what it's like to work at MyHeritage on www.glassdoor.com.
What you'll work on
- Design, develop, and deploy machine learning models for various business needs.
- Collaborate with cross-functional teams, product managers, and software engineers, to integrate ML solutions into production systems.
- Experiment with and iterate on model architectures to improve accuracy, efficiency, and scalability.
- Work with large datasets to preprocess, clean, and extract meaningful features for model training.
- Utilize MLOps best practices to automate and streamline the development lifecycle of ML models.
- Monitor model performance and fine-tune for optimization.
- Stay updated with the latest research and advancements in machine learning and AI.
*What you bring
Technical skills:**
- Strong foundation in machine learning techniques such as supervised and unsupervised learning, deep learning, and vision/NLP experience.
- Proficiency in Python, along with popular ML libraries and frameworks such as PyTorch, Scikit-Learn, pandas, NumPy, SciPy, TensorFlow.
- Experience with data preprocessing and feature engineering for structured and unstructured data.
- Knowledge of model deployment and serving, using tools like Docker, Kubernetes, or cloud-based services (AWS, GCP, Azure).
- Familiarity with MLOps tools for automation and monitoring (e.g., MLFlow, ClearML).
- Experience with SQL for data extraction and analysis (optional).
What we're looking for
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 7+ years of experience in software development, including at least 3 years of experience in the machine learning domains.
- Experience working in a B2C company or a similar high-paced environment is an advantage.
- Proven track record of implementing impactful machine learning solutions in production.
Tags & focus areas
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