Machine Learning Engineering Manager, Hyperscience
+ Stock Options
Cloud-based intelligent automation as a service
Job no longer available
Cloud-based intelligent automation as a service
201-500 employees
Job no longer available
+ Stock Options
201-500 employees
Company mission
Hyperscience is on a mission to connect human and artificial intelligence to solve tomorrow's automation challenges today, creating better outcomes for customers, companies, and the world.
Role
Who you are
- We are looking for an engineering leader with a blend of technical and people skills
- 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
- Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
- Well-developed software engineering fundamentals and the ability to write production code when needed
- Good communication skills and the ability to understand and synthesize requirements across multiple project domains
- Works effectively with cross-functional teams to build a trusted partnership
- Able to perform applied research projects and bring them to production
- Strong experience with one or more general-purpose languages (Java, C/C++, Python, etc)
What the job involves
- We are looking for a technical manager with a passion for working on business-facing automation products to lead our Application Machine Learning team
- The ideal candidate will be able to leverage a strong ML background to bridge the gap between the latest ML technologies and customer needs
- This is a crucial role in the engineering department, with a significant contribution to the company's future
- You will have a chance to work across the complete machine learning lifecycle, including data collection/generation, annotation, model building, training, testing, and releasing
- While partnering with multiple product engineering teams, you will deliver a combination of end-to-end automation solutions and simple, reusable abstractions for complex machine learning tasks to back offices worldwide
- You will be expected to get into the technical details of projects within your team while also understanding how to work cross-functionally to deliver the maximum value to our end users
- Manage and guide a large 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
- Assessing where the optimization efforts should go in order to utilize better the ML components and know-how of the company
Salary benchmarks
Our take
Manually entering data from handwritten forms can be time-consuming and costly, but when scaled to millions of forms annually the problem becomes more serious. Hyperscience is automating data entry by leveraging advanced artificial intelligence and machine learning techniques to provide near-perfect accuracy on robotic process automation (RPA).
By reducing the volume of manual work involved, companies can save time, reduce clerical errors, and cut costs. Many of Hyperscience’s partners are enterprise IT consulting companies such as Accenture, Atos, Cognizant, Deloitte, Infosys and Tata Consultancy Services.
The company have raised impressive funding following rapid growth. However, Hyperscience recently had to lay off a considerable part of its workforce, with its CEO also stepping down. However, following the appointment of a new CEO in April 2023, the company is getting back on a path of regrowth and rapid expansion.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-12% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Dec 2021
$100m
SERIES E
Oct 2020
$80m
SERIES D
Total funding: $288.9m
Company benefits
- 6-month parental leave (or double salary to pay for your partner's unpaid leave)
- 30 days of paid leave annually
- A 100% 401(k) match for up to 6% of your annual salary
- Commuter benefits
- Free travel for any person accompanying a breastfeeding mother on a work trip
- Top-notch healthcare for you and your family
- Relocation support for you and your plus one
- Referral bonuses
- Budget to attend conferences, train, and further your education
- Gym membership
Company HQ
World Trade Center, New York, NY
Leadership
Andrew Joiner
(CEO, not founder)Former CEO of InMoment, Autonomy Promote, and Singlecast Technologies (which they also founded). Previously worked as SVP & WW Head of HP.
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