Machine Learning Research Engineer
Redmond, Washington
Employer: Insight Global
Industry: Engineering (Non IT)
Salary: Competitive
Job type: Part-Time
A top research team is driving research towards a vision of an always-on AR device that can provide contextually relevant assistance across a range of complex, dynamic, real-world tasks in natural environments. The goal is to explore, concept, and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences.
To this end, we are looking for a research engineer who can accelerate the teams research engineering efforts.
Day to day:
Build and maintain data and machine learning pipelines, including the consumption and integration of data from a variety of sensors.
Design, build and test machine learning systems for real-time sensing and inference (e.g., real-time pose estimation, hand-object recognition, task recognition).
Collaborate with other researchers and engineers to advance research in machine learning methods and applications.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
Bachelor's in computer science, computer vision, machine learning, artificial intelligence, human-computer interaction, robotics, or related technical field.
3+ years of experience with Python, including cloud computing, GPUs, and training deep learning models
Experience with at least one deep-learning software library (PyTorch preferred or TensorFlow), including formulation, training, and evaluation of new algorithms and writing reusable modules.
3+ years of experience utilizing general software engineering skills, including debugging, version control, logging, documentation, code review, etc.
3+ years of experience building ML solutions (ideally from scratch as well as improving on existing) for challenging real-world interactive applications and proving them through end-to-end prototypes and/or products.
Nice to Have Skills & Experience
Master's or PhD degree in related field
Experience with hand, eye, and/or body tracking.
Experience with multimodal modeling, embeddings, and/or time-series modeling.
Experience designing data-collection protocols and recording datasets for machine-learning systems.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
To this end, we are looking for a research engineer who can accelerate the teams research engineering efforts.
Day to day:
Build and maintain data and machine learning pipelines, including the consumption and integration of data from a variety of sensors.
Design, build and test machine learning systems for real-time sensing and inference (e.g., real-time pose estimation, hand-object recognition, task recognition).
Collaborate with other researchers and engineers to advance research in machine learning methods and applications.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
Bachelor's in computer science, computer vision, machine learning, artificial intelligence, human-computer interaction, robotics, or related technical field.
3+ years of experience with Python, including cloud computing, GPUs, and training deep learning models
Experience with at least one deep-learning software library (PyTorch preferred or TensorFlow), including formulation, training, and evaluation of new algorithms and writing reusable modules.
3+ years of experience utilizing general software engineering skills, including debugging, version control, logging, documentation, code review, etc.
3+ years of experience building ML solutions (ideally from scratch as well as improving on existing) for challenging real-world interactive applications and proving them through end-to-end prototypes and/or products.
Nice to Have Skills & Experience
Master's or PhD degree in related field
Experience with hand, eye, and/or body tracking.
Experience with multimodal modeling, embeddings, and/or time-series modeling.
Experience designing data-collection protocols and recording datasets for machine-learning systems.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
Created: 2024-09-26
Reference: 382741
Country: United States
State: Washington
City: Redmond
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