Position: Machine Learning Engineer
Company: Akvelon
Category: Data Science
Experience required: 5y
English level: upper

**Are you a passionate Senior Machine Learning Engineer looking for an exciting opportunity?** Join our team and take on the challenge of researching, formulating, and executing a mission to build end-to-end ML solutions. As a Machine Learning Engineer, you will play a crucial role in delivering the right ad to the right user under the right context, utilizing cutting-edge data and ML-driven solutions. If you are ready to make a significant impact and be part of an innovative team, apply now and help shape the future of advertising!

**The client** is a well-known USA company, which created the most famous in the world community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there are communities for everybody.

**Responsibilities:**
🔹 Building ads retrieval and early ranking system for critical ML tasks with advanced industrial level techniques
🔹 Research, implement, test, and launch new model architectures including information retrieval, ANN, recommendation system, deep neural networks within high dimensional information system
🔹 Work on large scale data systems, backend services and product integration
🔹 Collaborate closely with multiple stakeholders cross product, engineering, research and marketing

**Requirements:**
🔹 2+ years of experience with applied machine learning models with Tensorflow/Pytorch with large-scale ML systems
🔹 3+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models
🔹 Proficiency with one of the programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
🔹 Experience of orchestrating complicated data pipelines and system engineering on large-scale dataset
🔹 Prior experience with information retrieval and recommendation system
🔹 Ads domain knowledge on product and ML solutions is a plus

**Working conditions:**
Working with overlap till 11 AM PST

**Benefits:**
- Paid vacation, sick leave (without sickness list)
- Official state holidays — 11 days considered public holidays
- Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
- Flexible working schedule: 8 hours per day, 40 hours per week.
- Personal Career Development Plan (CDP)
- Employee support program (Discount, Care, Heals, Legal compensation)
- Paid external training, conferences, and professional certification that meets the company’s business goals
- Internal workshops & seminars
- Corporate library (Paper/E-books) and internal English classes