Engineering- Data Science and Machine Learning- Senior Machine Learning Engineer- New York

Key Skills

Wordpress, Java Programming, Python Programming, C++, SQL, TensorFlow, R Programming, Github

Job Description

The financial industry thrives on data driven decision making. You will be joining the team that builds and operates foundational platform, used by the rest of Goldman Sachs to apply data science and machine learning to the daily operations of the firm. We take the best components from open source and major cloud providers and adapt and expand them to accommodate unique needs of the firm. The resulting systems are not only part and parcel of the daily life of hundreds of Goldman Sachs data scientists, but also play critical role in the experience of thousands of Goldman Sachs clients.

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our businesses. Our dynamic environment requires strategic thinking that is innovative and produces smart solutions.

The Goldman Sachs Data Science and Machine Learning Platform team provides high impact solutions for our data scientists responsible for solving problems of significant business value across multiple divisions of the firm. We build scalable and resilient systems using predictive modeling, natural language processing, anomaly detection, time series forecasting, deep learning, and other techniques on high-volume and highvelocity data.

The Data Science and Machine Learning organization comprises both the Machine Learning Platform and Solutions teams, as well as the Firm’s Research and Development (R&D) team.

• Machine Learning is responsible for the development of a unified firmwide machine learning platform, enabling divisions to harness deep learning and artificial intelligence to serve our global clients in new ways. 
• R&D Engineering connects the firm to the future of technology by taking on long-term and deeply technical projects with a clear view to eventual commercial application, always in close collaboration with the businesses that will commercially benefit.

The position is for a machine learning engineer to work on our natural language processing and search technologies. The candidate will work on training , testing and productizing machine learning models and work on the systems that support the model predictions and data gathering used for model training.
Proven record of working with latest machine learning technologies and integrating them in production services
Knowledge of natural language processing and data annotation tools and technologies

SKILLS & EXPERIENCE WE’RE LOOKING FOR

• 5+ years of experience in systems using machine learning and other artificial intelligence techniques
• Working knowledge of more than one programming language (Python, R, Java, C++ etc.)
• Experience building and operating distributed systems on the cloud Experience working closely with data scientists and appreciation for their unique workflow
• Excellent interpersonal, communication and presentation skills, both written and verbal
• Ability to stay commercially focused and to always push for quantifiable commercial impact
• Ability to collaborate effectively across global teams and communicate