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Senior Machine Learning Engineer
Toyota Research Institute, Argentina
Experience
1 Year
Salary
Job Type
Job Shift
Job Category
Traveling
No
Career Level
Telecommute
No
Qualification
As mentioned in job details
Total Vacancies
1 Job
Posted on
Feb 21, 2023
Last Date
Mar 21, 2023
Location(s)
Job Description
Research Software Engineering (RSE) is looking for a collaborative and versatile Senior Machine Learning (ML) Engineer to be an integral part of our fast-paced, agile development team. You will work closely with research teams, fellow software engineers, tech adoption staff, to stabilize, deploy and improve machine learning systems/models as needed to provide high-value innovative solutions that address the future-facing needs of internal Toyota customers.
The RSE and IE teams work closely together to provide software architecture and development services and know-how to TRI research teams while crafting, building, and operating cloud infrastructure and large-scale data solutions.
TRI envisions a future where Toyota products, enabled by TRI technology, spectacularly improve quality of life for individuals and society.
To achieve its Vision, TRI’s Mission is to build new tools and capabilities passionate about improving the human condition through research in energy amp; materials, robotics, machine learning, human-centered AI, and human interactive driving.
Discover, Nurture amp; Adopt (DNA) has the mission to enable innovation and transformation at Toyota by building a link between TRI research and Toyota products, services, and needs. We achieve this through partnership, collaboration, and shared dedication.
Discover: Represents the opportunity discovery of research ideas that we learn from the Toyota ecosystem and address as challenge problems in our TRI-wide research portfolio and the adoption discovery opportunities of matches between our mature research results to technology transitions into the Toyota ecosystem.
Nurture: Provides supporting roles through the Research Software Engineering (RSE) and Information Engineering (IE) teams that help TRI’s research divisions grow and cultivate their research results through additional resources in software development, information management at the level each of the research divisions wants.
Adopt: Represents our efforts to transfer TRI’s mature research results to the Toyota ecosystem and the engineering behind the embodiment of minimum viable prototypes.T
Responsibilities- Be a key engineer on the design, development and operation of our Data and Machine Learning infrastructure.
- Partner and work with other engineers and technical staff to understand ML infrastructure and data enrichment challenges while creating solutions that are timely, automatable, and scalable.
- Understand and work to align with our roadmaps, especially the machine learning research engineering roadmap.
- Analyze, understand and enthusiastically contribute to requirements from the research teamsPartner with team members to streamline, automate and scale solutions.
- Make recommendations on architecture, whether to build or integrate existing tools.
- Work with teams to build a backlog of epics and stories to implement machine learning capabilities.
- Stay up-to-date with the latest industry standard tools and technologies in this technical area.
- Design, implement and adapt solutions at a fast pace while writing observable automation using standard methodologies to minimize human operations.
Qualifications- 5+ years proven track record building software on cloud platforms (such as AWS) in python, go or a similar language.
- 2+ years of experience enabling developers by building tools, APIs or frameworks.
- Bachelor's Degree in Computer Science, Math, Physics or related field.
- An understanding of how modern machine learning works, and the types of tools and infrastructure required to support ML operations and engineers.
- Experience integrating automated systems with third-party APIs.
- Experience with modern databases (cassandra, postgres, or similar) and data transformation (spark, kafka, or similar).
- Experience with basic data analysis (pandas or similar).
- Experience with developing production systems in linux and linux-hosted containerization.
- Experience with continuous integration practices (separating production services) and observability.
- Proficiency in Python and Unix is a minimum. Additional knowledge of C++ / CUDA is a plus, experience with AWS as well.
- Good software engineering skills, grounded in principled standard methodologies.
- Clear grasp on basic Linear Algebra, Optimization, Statistics, and Algorithms.
- Deep experience with PyTorch, TensorFlow, Caffe, Keras, Theano or other deep learning frameworks is expected.
- Capable multi-tasker abl
Job Specification
Toyota Research Institute
Information Technology and Services - Caracas, Argentina