Location: Athens, Greece
Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it’s in our differences that we empower the way the world learns.
Atypon (www.atypon.com), a John Wiley & Sons company, is the world’s largest technology company in the scholarly and professional publishing industry. Headquartered in Silicon Valley, California, and spread in five different countries, Atypon is renowned for its technological leadership when it comes to management and online delivery of professional and scholarly publisher content. Atypon's online publishing platform hosts more than 50% of the English-language Science, Technical, Engineering and Mathematics (STEM) publications in the world.
About The Role
Working on top of worldwide research content & knowledge, our Machine Learning & Data Engineering teams explore new ideas and develop novel, AI-powered solutions which help publishers & researchers to know more, do more & achieve more. At the same time, our goal is to highlight low-quality research and ensure research (data) integrity identifying signals of potential research misconduct. We are looking for a talented and self-directed Senior Machine Learning Engineer to work on the following areas:
- Machine Learning Engineering including Deep Learning
- Text Mining and Natural Language Processing
- Generative AI
- Semantic Search, Information Retrieval, Recommendation & Retrieval Augmented Generation
- Information extraction, Named Entity Recognition & Entity linking
Being a member of a cross-functional team of ML, Data & Back-End engineers and applied researchers, you will work across many different areas in close collaboration with also non-technical colleagues and product owners. This means that communication skills are particularly important as well as the ability to describe technical issues in non-technical terms.
How You Will Make An Impact
- Develop novel, scalable AI powered solutions related to all the above-mentioned areas
- Train Deep Learning / Transformer based models for different classification tasks
- Evaluate, fine-tune and leverage LLMs / GenerativeAI models to address different use cases
- Plan and execute cutting-edge research and prototyping
- Work on end-2-end ML workflow life-cycle (MLOps, CI/CD, A/B Testing) and various related frameworks/tools (e.g., MLFlow)
What We Look For
- BSc in Computer Science and MSc with strong GPA in Machine Learning, or related technical fields
- 4+ years of industry experience on developing and deploying efficient ML/AI models and services in real-world environments.
- Strong engineering skills and proficiency in Python
- Solid foundation in Machine Learning with engineering experience in some of the following relevant specialization areas: Text Mining, Natural Language Processing (NLP), Natural Language Understanding (NLU), Representation Learning, Information Retrieval & Content-based Recommendation, GenerativeAI, Information Extraction, NER & Entity Linking
- Experience with various deep learning and ML frameworks such as PyTorch, HuggingFace Transformers, spaCy, scikit-learn,
- Experience with end-2-end ML workflow life-cycle (MLOps, CI/CD, A/B Testing) and various related frameworks/tools (e.g., MLFlow)
- Experience with Python backend APIs / development frameworks also supporting long running tasks (e.g., FastAPI, Celery), microservices architecture, IoC/DI patterns and containerization
- Experience with Git, Jira, Cloud Build or Jenkins
- Excellent problem solving and analytical skills
- Team player who enjoys working collaboratively
- Fluency in English written and oral
- A passion for Machine Learning & AI-powered solutions
- Strong sense of ownership, urgency and drive
About Wiley
Enabling Discovery, Powering Education, Shaping Workforces.
We clear the way for seekers of knowledge: illuminating the path forward for research and education, tearing down barriers to society’s advancement, and giving seekers the help they need to turn their steps into strides.
Wiley may have been founded over two centuries ago, but our secret to success remains the same: our people. We are willing to challenge the status quo, move the needle, and be innovative. Wiley’s headquarters are located in Hoboken, New Jersey, with operations across the globe in more than 40 countries.
Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual’s status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance.
We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers and learning champions all while striving to support the health and well-being of all employees, for example we offer meeting-free Friday afternoons allowing more time for heads down work and professional development.
We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. This range represents Wiley’s good faith and reasonable estimate of the base pay for this role at the time of posting. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.
When applying, please attach your resume/CV to be considered.
Location/Division:
Athens, Greece
Job Requisition
R2401604
Remote Location:
No
Time Type
Full Time
