Machine Learning Engineer

1 Month ago • 5 Years + • Artificial Intelligence

Job Summary

Job Description

This remote Machine Learning Engineer role requires 5+ years of experience. Responsibilities include developing cutting-edge algorithms for novel computer architectures, pioneering new Generative Edge AI algorithms, translating ML models from theory to practice (Python, C, C++), staying current with ML advancements, collaborating on algorithm/hardware co-design, debugging and benchmarking software for Akida hardware, providing technical support, contributing to the Akida software stack, and contributing to patents and publications. The ideal candidate will possess a strong background in machine learning and embedded AI, proficiency in Python, C, or C++, experience with ML frameworks (TensorFlow, Keras, PyTorch), and understanding of computer architecture principles.
Must have:
  • 5+ years experience
  • Develop industry learning edge algorithms
  • Proficiency in Python, C, or C++
  • Experience with ML frameworks
  • Understanding of computer architecture
Good to have:
  • LLM system implementation
  • Experience in computer vision, audio processing, and sensor fusion
Perks:
  • Health benefits
  • Generous PTO
  • Dog-friendly office
  • Unlimited snacks & drinks
  • Flexible working hours
  • Medical, Vision, Dental insurance
  • 401(k)

Job Details

This is a remote position.

Machine Learning Engineer - Remote Job, 5+ Year Experience


Candidates must be authorized to work in the United States full-time. We are not able to sponsor applicants for work visas at this time.

Flexible location: work where you want to, either remotely across the U.S. or from our HQ in NYC 


About  us: We are backed by a recent $3.8 million investment from top silicon valley investors, we're on a mission to unlock the full potential of developers.


What We Do: Patterned Learning AI platform helps developers learn, grow, and excel by providing intelligent code assistance, identifying areas for improvement, and fostering a collaborative learning environment.


We have a flexible, work-from-home friendly, style of operation with an on site office that is optional. 


Benefits: We offer health benefits and generous PTO packages. 

Our office is dog friendly, has unlimited snacks & drinks, flexible working hours (get out for the pow day!), and lots of rock climbing & skateboarding. 

We also offer competitive:

Medical insurance

Vision insurance

Dental insurance

401(k).

At Patterned Learning AI, we are committed to being a fun, groundbreaking, and inclusive place to work.


We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.



Essential Job Duties and Responsibilities: 


Develop industry learning edge algorithms for state of the art, novel computer architectures

Assist the team in pioneering new algorithms in Generative Edge AI.

Working closely with the research team to translate ML models from theory to practice.

Developing and maintaining efficient code in Python, C, and C++ for use in a fast pace research environment.

Staying current with advancements in ML, embedded AI, and related technologies.

Collaborating on ML algorithm/hardware co-design tasks to enhance system performance.

Debugging and Benchmarking software to ensure optimal performance on the Akida hardware.

Interfacing with customers to understand their needs and provide technical support for ML applications.

Contributing to the development of the Akida software stack and toolchain.

Contributing to Patent and Publications.

US Citizenship is required for this role.



Qualifications: 


To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.


Education/Experience: 


Bachelor’s Degree in Computer Engineer, Computer Science, Electrical Engineering, or a related field with 5+ years of experience; or a Master’s Degree with 3+ years of experience.

Strong background in machine learning and embedded AI through a well regarded university program or through extensive self-study.

Highly Proficiency in one Python, C, or C++.

Experience with ML frameworks such as TensorFlow, Keras, and PyTorch.

Understanding of computer architecture principles.


Preferred Qualifications: 


Deep experience implementing LLM systems for specific hardware targets

Multi-project experience in computer vision, audio processing, and sensor fusion.

Evidence of creativity and innovation in previous projects.

Language Skills: 


Ability to read and interpret documents, such as policies and procedures, routine mail, contracts, and instruction manuals. Ability to compose routine reports and correspondence.

Ability to effectively communicate with persons of various social, cultural, economic, and educational backgrounds.

Exceptional presentation, verbal and written skills.

Ability to independently synthesize a point of view given many different perspectives.


Reasoning Ability: 


Advanced ability to analyze information, problems, situations, practices, or procedures.

Advanced ability to analyze complex technical data using qualitative and quantitative sources of information to formulate logical and objective conclusions and to recognize alternatives and their implications.

Ability to carry out instructions delivered in written, oral, or other formats in daily situations.

Ability to deal with problems involving several concrete variables in standardized situations.

Ability to make timely decisions to produce positive outcomes.



Personal Attributes: 


Passionate about AI and embedded systems.

Highly curious and a self-starter.

Creative and persistent in problem-solving.

Ability to work collaboratively to solve problems in a fast-paced environment.


Applicants for this job

734 Applicants

141 Applicants in the past day


Applicant seniority level

70% Entry level applicants



17% Senior level applicants



1% CXO level applicants



1% Director level applicants




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