Machine Learning Engineering Manager
London, England
Machine Learning – Machine Learning Leadership /
Full-time /
Remote
Company Description
Hyperscience is a market leader in hyperautomation and a provider of enterprise AI infrastructure software. The Hyperscience Hypercell platform unlocks the value of an organization’s back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue; positive and engaging customer, public, and patient experiences; and dramatic increases in productivity.
Leading organizations across the globe rely on Hyperscience to drive their hyperautomation initiatives, including American Express, Charles Schwab, Fidelity, HM Revenue and Customs, Mars, Stryker, The United States Social Security Administration, and The United States Veterans Affairs. The company is funded by top tier investors including Bessemer Venture Partners, Battery, FirstMark, Stripes, and Tiger Global.
We are seeking a dynamic Technical Machine Learning Engineering Manager to lead our Application Machine Learning team. In this pivotal role, you’ll leverage your strong ML background to bridge cutting-edge technologies with real-world customer needs.
As a crucial member of our engineering department, you will drive the future of our company. You’ll engage in the entire machine learning lifecycle—from data collection and annotation to model building, training, testing, and deployment. Collaborating with various product engineering teams, you’ll deliver innovative end-to-end automation solutions and create simple, reusable abstractions for complex ML tasks, transforming back offices worldwide.
We’re looking for an engineering leader with a perfect blend of technical prowess and people skills. You’ll dive deep into the technical aspects of your team’s projects while working cross-functionally to maximize value for our users.
If you’re ready to make a significant impact and lead a team at the forefront of ML technology, we’d love to hear from you!
Responsibilities
- Manage and guide a team of Machine Learning engineers helping to set priorities and tasks
- Plan and manage multiple projects to ensure successful delivery
- Wrapping ML modules in reusable application components, which can be integrated into different configurations depending on the specific customer’s needs
- Leveraging your systems knowledge to deliver fast and scalable software, starting from the design of the system through development and extension
- Creatively solving problems even when the initial answer is unclear
- Actively participate in discussions and give ideas/guidance
- Evaluating and prioritizing optimization efforts to better leverage the company's ML components and expertise
Qualifications
- 3+ years of industry experience using data-driven approaches to solve real-world problems through building an ML-related product from end-to-end, including data collection, modeling training, experiment, and release
- 1+ year(s) leadership experience as an engineering manager or technical lead for a group of engineers or data scientists - coaching, road mapping, and project management
- Expertise in machine learning for deep learning, and content understanding technologies, especially in NLP or CV-related areas
- Well-developed software engineering fundamentals and the ability to write production code when needed
- Strong communication and collaboration skills
- Ability to perform applied research projects and bring them to production
- Strong experience with one or more general-purpose languages (Java, C/C++, Python, etc).
Benefits & Perks:
- Top-notch healthcare for you and your family
- A pension match for up to 6% of your annual salary
- Flexible PTO with the approval of your manager
- 12 weeks of parental leave and an additional 4 weeks for birthing parents
- Stock options
We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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