Director of Machine Learning (ML) Engineering Task
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A Director of Machine Learning (ML) Engineering Task is a Director of Software Engineering Task (often back-end engineering) that facilitates the delivery of ML-based systems.
- Context:
- It can (often) be performed by a Director of ML Engineering.
- It can (often) be referenced in a Director of Machine Learning (ML) Engineering Job Description.
- It can include:
- Manage, lead and empower ML Engineering Managers, ML Engieering Team Leads, and Senior ML Engineers.
- Develop and communicate a clear ML Engineering Vision and ML Engineering Roadmap for their area.
- Develop a Machine Learning Engineering Group (of ML engineering teams of ML engineers).
- Lead ML Engineering Team Leads, develop and be accountable for team goals.
- Evangelize the ML Engineering Capabilities both internally and externally.
- Drive Organizational ML Projects.
- Recruit and hire new ML Engineering Members.
- Retain ML Engineering Members.
- Maintain high morale and strengthen our ML Engineering Culture.
- Demand ML Engineering Excellence.
- Develop and lead cross-functional relationships and collaboration.
- …
- Example(s):
- those posted in an Medable Director of ML Engineering J.D..
- …
- Counter-Example(s):
- See: ML Engineering Task.
References
2018
- "Director of Machine Learning."
- The Director of Machine Learning will lead the architecture and design of Primer’s core product functionality. You will partner with the engineering leadership and executives in an effort to translate the company objectives into a roadmap and execution plans for your team. Most importantly, you will mentor and develop a strong and rapidly growing team of machine learning engineers, recruit new ML experts to join your team, and evangelize Primer both internally and externally.
Your goal – to build the machines that can tell stories to anyone in the world. - The organization: Machine Learning Engineering:
- Primer is an artificial intelligence company that organizes and analyzes text-based data sources, and generates analyst-grade natural language summaries for a variety of industries. Our objective is to help our customers understand the world around them ‐‐ whether it is emerging geopolitical events, development of a product line or area of research, or monitoring a portfolio of companies’ financial performances.
The Machine Learning team builds the algorithms that power Primer’s products. The team’s charter is: (1) research, develop, and deploy new cutting edge algorithms and technologies that are the foundation of Primer’s product suite; (2) maintain and improve the performance of existing ML technologies in terms of speed, precision and recall; (3) help envision new products and novel uses for Primer’s technology; and (4) make it easy for other engineering teams to bring the power of machine learning to their work.
- Primer is an artificial intelligence company that organizes and analyzes text-based data sources, and generates analyst-grade natural language summaries for a variety of industries. Our objective is to help our customers understand the world around them ‐‐ whether it is emerging geopolitical events, development of a product line or area of research, or monitoring a portfolio of companies’ financial performances.
- Responsibilities
- Lead the ideation and implementation of algorithms and technologies for the products and specific customer needs.
- Partner with executives and leadership in product and engineering to identify and prioritize new feature and algorithmic development based on customer engagement and feedback.
- Participate in the architectural design of engineering platforms that will unite ML capabilities with engineering and product.
- Develop presentations and technical discussions to communicate broadly across Primer and customers.
- Requirements
- M.Sc. or Ph.D. in computer science, statistics, computational linguistics, or other quantitative field.
- 8-15+ years of professional experience in the areas of developing and deploying quantitative models, machine learning and NLP-based solutions.
- 6-10+ years of managing teams of data scientists, engineers, and quantitative modelers.
- 6-10+ years of proven experience in sourcing candidates, hiring, and handling the H1-B, OPT visa process.
- Extensive experience with machine learning and NLP tools and libraries including SpaCy, NLTK, Scikit-learn, Tensorflow, Keras.
- A strong understanding of NLP topics: event and topic detection, relation, and extraction, pattern detection, summarization, entity recognition, semantic role labeling, and clustering and classification models.
- Ability to think about solutions from a customer perspective, establish conceptual connections between requirements and solutions.
- Experience in distributed computing and working with AWS/Azure, the Elastic stack, and Docker preferred.
- Passionate about producing high-quality analytics deliverables and communicating results to a broad audience.
- The Director of Machine Learning will lead the architecture and design of Primer’s core product functionality. You will partner with the engineering leadership and executives in an effort to translate the company objectives into a roadmap and execution plans for your team. Most importantly, you will mentor and develop a strong and rapidly growing team of machine learning engineers, recruit new ML experts to join your team, and evangelize Primer both internally and externally.