Kforce Inc
This range is provided by Kforce Inc. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $46.75/hr - $63.25/hr
Responsibilities Kforce has a client that is seeking an ML Engineer in Fremont, CA. Key Tasks:
Serve as a member of the factory software machine learning and computer vision team
Design, develop and implement critical machine learning models that operate on our factory and warehouse environments
Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc.
Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations
Will take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur
Clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data
Requirements
In-depth knowledge of Python for high-performance data-intensive applications
Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.)
Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research
Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance
Real-world experience deploying and maintaining production machine learning use-cases
Passion for clean code and sustainable modular code for taking research ideas into production
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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Base pay range $46.75/hr - $63.25/hr
Responsibilities Kforce has a client that is seeking an ML Engineer in Fremont, CA. Key Tasks:
Serve as a member of the factory software machine learning and computer vision team
Design, develop and implement critical machine learning models that operate on our factory and warehouse environments
Take ambiguous problem statements and build end-to-end models using a variety of techniques and tools like supervised learning, convolutional neural networks, Pytorch, Pandas, etc.
Work closely with partners in production, process, controls, quality, etc. to build solutions for the hardest problems faced in our operations
Will take ownership of models in production and ensure there is proper alerting systems in place to rapidly deal with any issues that occur
Clean and deal with diverse and heterogeneous data sets that combine many modalities like images, multi-spectral sensor outputs, voice, text, and tabular data
Requirements
In-depth knowledge of Python for high-performance data-intensive applications
Familiarity with at least one modern deep learning framework (Pytorch, Jax, Tensorflow, etc.)
Expertise in one or more areas like computer vision, large language models, recommender systems, or operations research
Foundational knowledge of statistics for comparing models and assessing solution feasibility and performance
Real-world experience deploying and maintaining production machine learning use-cases
Passion for clean code and sustainable modular code for taking research ideas into production
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
#J-18808-Ljbffr