Machine Learning Engineer

Verus Research
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Intermediate
Compensation
$ 165K

Job location

Tech stack

Artificial Intelligence
Computer Vision
C++
Data Fusion
R
Python
Machine Learning
TensorFlow
Verification and Validation (Software)
Reinforcement Learning
Data Processing
PyTorch
Deep Learning
Model Validation
Information Technology
Data Analytics

Requirements

Do you have experience in Writing skills?, Verus Research is searching for a Machine Learning Engineer to perform research & development, conception, and implementation of advanced concepts in artificial intelligence, machine learning, autonomous systems, and mobile robotics. The ideal candidate should have experience developing and implementing machine learning algorithms with a focus on some combination of generative methods, data fusion, classification, verification and validation, optimization, computer vision, and/or reinforcement learning.

The primary role for the Machine Learning Engineer will be to aid in the conception and development of machine learning algorithms and training pipelines supporting data-driven outcomes relevant to automated, intelligent, autonomous systems. This work will require the ability to work both independently and within a team. A successful team member will be able to work on diverse application areas with an initial focus on advancing state of the art in spacecraft autonomy.

The ideal candidate for the Machine Learning Engineer position will possess strong analytical skills used to solve challenging problems in a fast-paced environment. In addition, they will possess the following to be successful in this role:

  • US Citizen
  • Advanced degree in computer science, mathematics, statistics, aerospace engineering, electrical engineering, or related fields
  • 3+ years of experience working on machine learning problems
  • Strong background in stochastic processes, statistical inference, optimal control theory
  • Knowledge of deep learning architectures such as CNNs, RNNs, and NLP, and time series analysis
  • Demonstrated experience working on deep learning pipelines including familiarity with data processing, model selection, training, validation, and testing
  • Proficient in Python, R and C++ and experience with PyTorch, TensorFlow, or other machine learning frameworks

Ability to communicate technical concepts clearly and concisely, both verbally and in writing

Benefits & conditions

3.53.5 out of 5 stars United States $143,000 - $165,000 a year - Full-time, Pulled from the full job description

  • Referral program
  • Professional development assistance
  • Tuition reimbursement
  • Parental leave
  • 401(k)
  • Health insurance
  • Paid time off, * 401(k)
  • Dental insurance
  • Employee assistance program
  • Flexible schedule
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Referral program
  • Relocation assistance
  • Tuition reimbursement
  • Vision insurance

Schedule:

  • 8 hour shift
  • Monday to Friday

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