Intern Conversion Impact Science Software Engineer

Your Role and Responsibilities

We are seeking candidates with proven interest and experience in implementing innovative software solutions and applications. You will work in close collaboration with other researchers and engineers to create, maintain and support world-class applications and/or infrastructure. You will also deliver production level-code to support the commercialization of the resulting assets. Demonstrated communication skills are essential.

Candidates should have basic knowledge in one or more of the following skills:

• Programming skills (C/C++, Java, Python, Javascript, Node.js, etc.)
• Software engineering practices including agile techniques
• Building cloud applications using APIs and services
• System building/debugging/testing skills
• Machine learning techniques and machine learning toolkits such as R, scikit-learn, Theano, Caffe, Torch
• Programming on GPUs
• Scale-out programming (e.g. MPI)

Required Technical and Professional Expertise

• At least 3 years of experience coding and debugging in one or more general purpose programming languages including, but not limited to: Python, Java, Javascript, C/C++
• Experience in building full-stack web applications
• Basic understanding of design patterns
• Basic understanding of software engineering
• Ability to transfer project requirements into robust software components and architectures

Preferred Technical And Professional Expertise

• Experience with standard machine learning techniques and machine learning tools and frameworks including but not limited to: TensorFlow, PyTorch, scikit-learn etc.
• Experience in backend storage technologies such as SQL and Non-SQL databases (Postgres, MongoDB, Cloudant, ElasticSearch etc.)
• Experience in web application development and frameworks including HTML, CSS and JavaScript, JQuery, React, Flask, Node.js etc.
• Experience in Kubernetes CI/CD tools and operators, IBM Cloud and machine learning training pipelines
• Experience analyzing large scale data from a variety of sources
• Design, validation, and characterization of algorithms and/or systems