Machine Learning Engineer III -Recommendations

Job Description

What should you know about joining Glance? At Glance, we walk the talk - free yourself, dream big, and chase your passion! On joining, you ll have opportunities to make an immediate impact on mission-critical projects, as you work with highly capable and ambitious peer groups. Be rewarded for your autonomy even as you collaborate. Ideate, innovate, and inspire by leveraging bleeding-edge tech to disrupt consumer experiences. While you work, we ll take care of nourishing your body, mind, and soul. This includes daily meals, gym, trainings, tech tools, and regular unwind sessions. Also, feel free to bring your kids - even the furry ones - to the office! What you will be doing? Glance is looking for a Machine Learning Engineer As an ML engineer you will be responsible for contributing to the design, development, deployment, testing, maintenance and enhancement of ML software solutions. You will work closely with data scientists to collaborate and support the development of ML data pipelines, platforms and infrastructure. Day-to-day activities include architecting and implementing end-to-end solutions for accelerating experimentation and model building, creation of microservices and APIs for serving ML models and ML services, designing and implementing potential products and proof-of-concepts, working closely with engineering, product, and newsroom teams to define and deploy new ML / AI products, exploring and onboarding new platforms, technologies and algorithms, managing project priorities, deadlines and deliverables We are looking for candidates with an enthusiasm for tackling audacious challenges, the ability to take ownership of end-to-end solutions, and a passion for elegance in deep problem solving. Preferred Qualifications: Five+ years experience working in a ML Engineering role with proven track record of delivering high-impact ML solutions. Bachelor s degree, Master s or PhD in computer science, Mathematics, Statistics, or other analytical fields Demonstrated ability to own end-to-end project delivery while maintaining transparent communication Hands-on experience and strong theoretical understanding of Recommender Systems. Experience working with Python, Golang, Spark or other open-source software with data science libraries Strong experience in advanced math and statistics Excellence in technical documentation and project leadership, with proven ability to drive results independently with cross-functional teams Experience with being actively engaged in data science or other research-oriented position "