Machine Learning Engineer
פורסם 25 במאי · 0 מועמדים
התפקיד במילים פשוטות
מהנדס/ת למידת מכונה ב-MyHeritage יפתח/ת ויישם/ת מודלים של למידת מכונה כדי להניע את המוצרים וחוויות המשתמש. התפקיד כולל תכנון, פיתוח ופריסה של מודלים, שיתוף פעולה עם צוותים שונים, עבודה עם מערכי נתונים גדולים וניטור ביצועי מודלים. העבודה מתמקדת בשימוש בטכנולוגיות AI העדכניות ביותר לפתרון בעיות בקנה מידה גדול.
- 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
- Experience working in a B2C company or a similar high-paced environment
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למהנדסים/ות עם ניסיון של 7+ שנים בפיתוח תוכנה, מתוכן לפחות 3 שנים בתחום למידת מכונה, ובעלי/ות יסודות חזקים בטכניקות למידת מכונה וניסיון עם ספריות ופריימוורקים פופולריים כמו Python, PyTorch ו-TensorFlow. הוא פחות מתאים למועמדים/ות ללא ניסיון משמעותי בפיתוח תוכנה ובלמידת מכונה, או ללא יכולת לעבוד בסביבה מהירה ודינמית.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןAs a Machine Learning Engineer at MyHeritage, you will play a crucial role in developing and implementing machine learning models that drive our products and user experiences. You will have a significant impact on our large and growing user base by leveraging the latest AI technologies to solve challenging problems at scale. This is a unique opportunity to join a forward-thinking team that is passionate about innovation, data, and machine learning.
What you’ll do
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).
Experience:
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.
Core attributes
Strong analytical mindset, with the ability to tackle complex problems with creativity and efficiency.
Excellent communication skills for conveying technical ideas to both technical and non-technical stakeholders.
High level of attention to detail and quality in your work.
Ability to work effectively in a team environment, while also being a self-starter when working independently.
Curious and eager to keep learning about the latest trends in AI and machine learning.
Comfortable in a fast-paced, dynamic work environment with changing priorities.
About MyHeritage
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.
Benefits at MyHeritage
Our employees enjoy a range of benefits to enhance work-life balance and well-being:
Hybrid work model
Modern, beautiful office in Or Yehuda with shuttle service from Tel Aviv and employee parking (for our Or Yehuda employees)
On-site gym and pilates classes
Dog-friendly office
Well-stocked kitchens and a monthly meal allowance
Fully funded supplemental health insurance
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שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- היברידי
- 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)