Senior Machine Learning Software Engineer Job Description Template
Our company is looking for a Senior Machine Learning Software Engineer to join our team.
Responsibilities:
- Investigate modeling issues, identify root causes, and design solutions;
- Design, develop and operate statistical models and algorithms to deliver quality at scale;
- Work multi-functionally with other teams to develop standard methodologies in model building and validation;
- Enjoy hands-on exploration and processing of large, complex data sets;
- Mentor modeling scientists & software engineers to grow their careers and improve their skills;
- Mentor modeling scientists & software engineers to grow their careers and improve their skills;
- Design a large-scale data processing architecture and collaborate on implementing it with the team;
- Build scalable machine learning services and machine learning platforms;
- Consistently deliver high-quality software in a timely fashion;
- Create and maintain production systems that provide oversight on the uptime and stability of our models;
- Valuing homes;
- Create and maintain Spark and lambda architecture to create data pipelines that generate features;
- Review requirements, software designs, and code;
- Participate in design efforts and discussions;
- Research new technologies to support the rapid business growth.
Requirements:
- Experience in Distributed Computing / MapReduce;
- Fluency in Java, C++, Python or similar object oriented programming language;
- Strong analytical, planning and interpersonal skills;
- M.S in Computer Science or related technical field with 5+ years of industry experience;
- Strong knowledge of at least two programming languages, one of which is Python or Java. Cloud platform experience preferred;
- A B.S. in a STEM field or equivalent hands-on experience. A public portfolio (such as a GitHub page) is an advantage;
- Strong generalist software engineer with 5+ years of development experience in multiple backend areas;
- Experience developing production software;
- Adept working with SQL – you should be able to write complex queries in your sleep and you’re excited working hands-on with data;
- Experience with the full software development lifecycle, including design/architecture, testing, deployment, and documentation.