Experienced Full Time Remote Applied Machine Learning Scientist – Deep Learning Algorithm Development for Sensing Technologies
Introduction to Workwarp and the Role
Imagine being part of a cutting-edge research and engineering team that is revolutionizing the way we interact with technology. At Workwarp, we are committed to pushing the boundaries of innovation and creating products that transform people's lives. As an Applied Machine Learning Scientist, you will have the opportunity to work on the development of next-generation sensing technologies for various products, including iPhone, Apple Watch, and iPad. Our team is dedicated to creating state-of-the-art algorithms that process image and time-series data, and we are looking for talented individuals like you to join our mission.
About the Company
Workwarp is a dynamic and forward-thinking company that values creativity, innovation, and collaboration. We believe in fostering a culture of inclusivity, diversity, and equality, and we are committed to providing our employees with a supportive and stimulating work environment. Our team is comprised of world-class engineers, designers, and scientists who are passionate about creating products that make a real difference in people's lives.
Job Summary
We are seeking an experienced Applied Machine Learning Scientist to join our team of experts in developing advanced algorithms for sensing technologies. As a successful candidate, you will have a strong background in deep learning, signal processing, and probabilistic modeling, as well as excellent programming skills in languages such as Python, C++, or Objective-C. You will be responsible for designing and implementing machine learning algorithms that process image and time-series data, deploying scalable and efficient processes for large-scale data analyses, and communicating complex ideas to cross-functional teams.
Key Responsibilities
Design and implement machine learning algorithms that process image or time-series data measured by various sensors in different products
Deploy massive computing platforms with thousands of GPU's and CPU's to establish scalable, efficient, automated processes for large-scale data analyses, model development, and model validation
Communicate advanced ideas to focused teams and develop innovative tools and metrics that change the way we look at problems
Join a thriving Machine Learning community and work cross-functionally with sensor architects and software engineers to build the next generation of sensing technologies
Collaborate with cross-functional teams to identify and prioritize project requirements and develop solutions that meet business needs
Stay up-to-date with the latest advancements in machine learning and deep learning, and apply this knowledge to improve the performance and efficiency of our algorithms
Essential Qualifications
To be successful in this role, you will need to have:
A BS degree in Computer Science, Electrical Engineering, Statistics, or other STEM fields, with a minimum of 3 years of relevant industry experience
Experience with one or more Deep Learning packages, including but not limited to TensorFlow and PyTorch
Strong programming skills in languages such as Python, C++, or Objective-C
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Preferred Qualifications
While not essential, the following qualifications are highly desirable:
A Ph.D. degree in CS or other STEM fields, with a strong background in deep learning and machine learning
Experience in human-computer interaction (HCI) space, with a focus on developing intuitive and user-friendly interfaces
Experience with signal processing, probabilistic modeling, and statistics, with a strong understanding of how to apply these concepts to real-world problems
Familiarity with C++ or Objective-C programming, with experience in developing high-performance implementations of deep learning algorithms
Experience processing large-scale data sets using Mesos, Spark, or Hadoop, with a strong understanding of how to optimize data processing pipelines for performance and efficiency
Skills and Competencies
To be successful in this role, you will need to possess the following skills and competencies:
Strong technical skills, with a deep understanding of machine learning, deep learning, and signal processing
Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Ability to work in a fast-paced environment, with a focus on delivering high-quality results under tight deadlines
Strong attention to detail, with a focus on ensuring the accuracy and reliability of our algorithms and models
Career Growth Opportunities and Learning Benefits
At Workwarp, we are committed to providing our employees with opportunities for growth and development. As an Applied Machine Learning Scientist, you will have access to:
Training and development programs, with a focus on advancing your skills and knowledge in machine learning and deep learning
Mentorship and coaching, with a focus on helping you achieve your career goals and aspirations
Opportunities for career advancement, with a focus on promoting from within and recognizing and rewarding outstanding performance
A collaborative and dynamic work environment, with a focus on fostering a culture of innovation and creativity
Work Environment and Company Culture
At Workwarp, we are committed to creating a work environment that is supportive, stimulating, and inclusive. Our company culture is built around the following values:
Innovation and creativity, with a focus on encouraging experimentation and risk-taking
Collaboration and teamwork, with a focus on fostering a sense of community and camaraderie
Diversity and inclusion, with a focus on promoting equality and recognizing and valuing differences
Integrity and transparency, with a focus on acting with honesty and integrity in all our interactions
Compensation, Perks, and Benefits
At Workwarp, we offer a competitive compensation package that includes:
A base salary range of $143,100 to $264,200, depending on your skills, qualifications, experience, and location
Opportunities for discretionary bonuses and commission payments, with a focus on recognizing and rewarding outstanding performance
A range of benefits, including comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services
Opportunities for career advancement and professional growth, with a focus on promoting from within and recognizing and rewarding outstanding performance
Conclusion
If you are a motivated and talented Applied Machine Learning Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. At Workwarp, we are committed to creating a work environment that is supportive, stimulating, and inclusive, and we are excited about the prospect of welcoming you to our team. Don't hesitate to apply today and let's build the future together!
Apply Now
Imagine being part of a cutting-edge research and engineering team that is revolutionizing the way we interact with technology. At Workwarp, we are committed to pushing the boundaries of innovation and creating products that transform people's lives. As an Applied Machine Learning Scientist, you will have the opportunity to work on the development of next-generation sensing technologies for various products, including iPhone, Apple Watch, and iPad. Our team is dedicated to creating state-of-the-art algorithms that process image and time-series data, and we are looking for talented individuals like you to join our mission.
About the Company
Workwarp is a dynamic and forward-thinking company that values creativity, innovation, and collaboration. We believe in fostering a culture of inclusivity, diversity, and equality, and we are committed to providing our employees with a supportive and stimulating work environment. Our team is comprised of world-class engineers, designers, and scientists who are passionate about creating products that make a real difference in people's lives.
Job Summary
We are seeking an experienced Applied Machine Learning Scientist to join our team of experts in developing advanced algorithms for sensing technologies. As a successful candidate, you will have a strong background in deep learning, signal processing, and probabilistic modeling, as well as excellent programming skills in languages such as Python, C++, or Objective-C. You will be responsible for designing and implementing machine learning algorithms that process image and time-series data, deploying scalable and efficient processes for large-scale data analyses, and communicating complex ideas to cross-functional teams.
Key Responsibilities
Design and implement machine learning algorithms that process image or time-series data measured by various sensors in different products
Deploy massive computing platforms with thousands of GPU's and CPU's to establish scalable, efficient, automated processes for large-scale data analyses, model development, and model validation
Communicate advanced ideas to focused teams and develop innovative tools and metrics that change the way we look at problems
Join a thriving Machine Learning community and work cross-functionally with sensor architects and software engineers to build the next generation of sensing technologies
Collaborate with cross-functional teams to identify and prioritize project requirements and develop solutions that meet business needs
Stay up-to-date with the latest advancements in machine learning and deep learning, and apply this knowledge to improve the performance and efficiency of our algorithms
Essential Qualifications
To be successful in this role, you will need to have:
A BS degree in Computer Science, Electrical Engineering, Statistics, or other STEM fields, with a minimum of 3 years of relevant industry experience
Experience with one or more Deep Learning packages, including but not limited to TensorFlow and PyTorch
Strong programming skills in languages such as Python, C++, or Objective-C
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
Preferred Qualifications
While not essential, the following qualifications are highly desirable:
A Ph.D. degree in CS or other STEM fields, with a strong background in deep learning and machine learning
Experience in human-computer interaction (HCI) space, with a focus on developing intuitive and user-friendly interfaces
Experience with signal processing, probabilistic modeling, and statistics, with a strong understanding of how to apply these concepts to real-world problems
Familiarity with C++ or Objective-C programming, with experience in developing high-performance implementations of deep learning algorithms
Experience processing large-scale data sets using Mesos, Spark, or Hadoop, with a strong understanding of how to optimize data processing pipelines for performance and efficiency
Skills and Competencies
To be successful in this role, you will need to possess the following skills and competencies:
Strong technical skills, with a deep understanding of machine learning, deep learning, and signal processing
Excellent problem-solving skills, with the ability to analyze complex problems and develop creative solutions
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Ability to work in a fast-paced environment, with a focus on delivering high-quality results under tight deadlines
Strong attention to detail, with a focus on ensuring the accuracy and reliability of our algorithms and models
Career Growth Opportunities and Learning Benefits
At Workwarp, we are committed to providing our employees with opportunities for growth and development. As an Applied Machine Learning Scientist, you will have access to:
Training and development programs, with a focus on advancing your skills and knowledge in machine learning and deep learning
Mentorship and coaching, with a focus on helping you achieve your career goals and aspirations
Opportunities for career advancement, with a focus on promoting from within and recognizing and rewarding outstanding performance
A collaborative and dynamic work environment, with a focus on fostering a culture of innovation and creativity
Work Environment and Company Culture
At Workwarp, we are committed to creating a work environment that is supportive, stimulating, and inclusive. Our company culture is built around the following values:
Innovation and creativity, with a focus on encouraging experimentation and risk-taking
Collaboration and teamwork, with a focus on fostering a sense of community and camaraderie
Diversity and inclusion, with a focus on promoting equality and recognizing and valuing differences
Integrity and transparency, with a focus on acting with honesty and integrity in all our interactions
Compensation, Perks, and Benefits
At Workwarp, we offer a competitive compensation package that includes:
A base salary range of $143,100 to $264,200, depending on your skills, qualifications, experience, and location
Opportunities for discretionary bonuses and commission payments, with a focus on recognizing and rewarding outstanding performance
A range of benefits, including comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services
Opportunities for career advancement and professional growth, with a focus on promoting from within and recognizing and rewarding outstanding performance
Conclusion
If you are a motivated and talented Applied Machine Learning Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. At Workwarp, we are committed to creating a work environment that is supportive, stimulating, and inclusive, and we are excited about the prospect of welcoming you to our team. Don't hesitate to apply today and let's build the future together!
Apply Now