Senior Machine Learning Engineer Job Description Template
Our company is looking for a Senior Machine Learning Engineer to join our team.
Responsibilities:
- Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”;
- Partner with data scientists to understand, implement, refine and design machine learning and other algorithms;
- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models;
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models;
- Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver;
- Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
Requirements:
- Semiconductors / Electronics;
- Knowledge of data query and data processing tools (i.e. SQL);
- Understand machine learning principles (training, validation, etc.);
- Experience using deep learning architectures;
- Experience with GPU acceleration (i.e. CUDA and cuDNN);
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering);
- Experience with integrating applications and platforms with cloud technologies (i.e. AWS and GCP);
- BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience;
- Mathematics fundamentals: linear algebra, calculus, probability;
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code;
- Minimum experience of at least 5 years on relevant technologies;
- Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark);
- Experience deploying highly scalable software supporting millions or more users;
- Interest in reading academic papers and trying to implement state-of-the-art experimental systems;
- Industry.