Machine Learning Software Engineer

Redmond, Washington


Employer: Apex Systems
Industry: 
Salary: $105 per hour
Job type: Part-Time

Research Engineer - Applied Machine Learning
Apex is searching for a Machine Learning Engineer for a 1 year contract to start. There is potential to extend up to 2 years. This is an on site position in Redmond, WA.
Rate: $105/hr W2
We are building the next generation interaction systems in AR and doing cutting edge research in exploring the utilization of novel and natural interaction techniques and understanding user's natural behaviors to enable such interaction
Our goal is to explore, concept, and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are 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.
To this end, we are looking for a research engineer who can accelerate the team's research engineering efforts.
Responsibilities
  • 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 (eg., real-time pose estimation, hand-object recognition, task recognition).
  • Collaborate with other researchers and engineers to advance research in machine learning methods and applications.
Minimum Qualifications
  • Bachelors, Masters, or PhD degree in computer science, computer vision, machine learning, artificial intelligence, human-computer interaction, robotics, or related technical field.
  • 3+ years of experience with Python and at least one deep-learning software library (e.g., PyTorch, Caffe2, 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 for challenging real-world interactive applications and proving them through end-to-end prototypes and/or products.
  • Strong written and verbal communication and project management skills.
Preferred Qualifications
  • 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.


EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Created: 2024-09-26
Reference: 2047817
Country: United States
State: Washington
City: Redmond


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