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Applied mathematics • san jose ca
Software Engineer, Applied ML
AppleCupertino, California, USA- Promoted
Applied Scientist
Strativ GroupSanta Clara, CA, US- Promoted
Applied R&D Engineer
NokiaSunnyvale, CA, United StatesMATHEMATICS (CREDIT)
Santa Rosa Junior CollegeSonoma County, CA- Promoted
- New!
Applied AI / ML Engineer
Catalyst Labs, LLCCupertino, CA, United StatesApplied Technology Project Manager
HDR, Inc.N / A, CA, United StatesApplied ML Engineer
KognitosSan Jose, California, United StatesStaff Applied Analytics Analyst
LinkedInSunnyvale, CA, United StatesSr. Applied Scientist
AmazonSunnyvale, CA, United StatesApplied Behavioral Scientist
SAMSUNG665 Clyde Avenue, Mountain View, CA, USA- Promoted
Applied Scientist
OCTOPYDSan Jose, CA, USSoftware Engineer - Applied AI
Selector SoftwareSanta Clara, California, United StatesR&D Applied Scientist
ABBSan Jose, California, United StatesApplied Scientist
VirtualVocationsSanta Clara, California, United States- Promoted
Assistant Professor - Applied Data Science
InsideHigherEdSan Jose, California, United StatesApplied Scientist
AdobeSan JoseApplied Researcher I
Capital OneSan Jose, CA- Promoted
Early-Career Applied ML Engineer
Kognitos IncSan Jose, CA, United States- Promoted
Applied Machine Learning Engineer - USDS
Tik TokSan Jose, CA, United StatesThe average salary range is between $ 92,313 and $ 93,252 year , with the average salary hovering around $ 93,252 year .
- american sign language interpreter (from $ 70,941 to $ 551,925 year)
- investment banker (from $ 144,400 to $ 249,600 year)
- cardiothoracic surgeon (from $ 174,600 to $ 248,150 year)
- forensic pathologist (from $ 135,000 to $ 244,941 year)
- director of software engineering (from $ 183,000 to $ 240,000 year)
- psychiatrist (from $ 50,000 to $ 240,000 year)
- radiologist (from $ 57,103 to $ 238,613 year)
- chief investment officer (from $ 155,794 to $ 235,505 year)
- engineering director (from $ 151,059 to $ 235,000 year)
- product director (from $ 164,997 to $ 235,000 year)
The average salary range is between $ 50,000 and $ 103,568 year , with the average salary hovering around $ 70,819 year .
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Software Engineer, Applied ML
AppleCupertino, California, USA- Full-time
As part of this role youll join a team of software engineers and researchers focused on identifying behavioral patterns and you will help shape new and enhanced user experiences by collaborating closely with teams across sensing Siri and to take ownership of complex end-to-end problems Youll design build and evaluate production ML systems that infer a devices patterns by inference on date like GPS Wi-Fi and accelerometers and higher semantic signals combining estimation techniques with machine learning. Youll test and refine your work use it yourself track metrics and iterate for quality.
- Experience shipping production software for mobile and / or other resource-constrained devices. Tight memory CPU and schedule constraints motivate you and ignite your creativity. Capability of creating analyzing and modifying SW functionality ideally in C / Obj-C / Swift codebases
- Data processing : Skilled in working with large noisy datasets.
- Experience with libraries like NumPy pandas scikit-learn and PyTorch or TensorFlow.
- Hands-on experience with applied probability statistics and empirical and / or ML algorithms. Classical estimation signal processing and / or training supervised ML models are relevant.
- Bachelors or graduate degree in Computer Science Computer Engineering Mathematics or a related field.
- Machine Learning algorithms : Strong grasp of supervised / unsupervised learning regression classification clustering and model evaluation techniques.
- Having worked as an ML practitioner in an industrial setting
- Laser focus on customer impact and product experience.
- Some professional background in location and / or other wireless sensing technologies including for example GPS / GNSS WiFi indoor localization and / or discrete localization.
- Excellent communication verbally and in writing. You can succeed in a collaborative environment and are comfortable with what will sometimes feel like a high degree of uncertainty.
- You can innovate within tight memory CPU and schedule constraints and deliver on time. These constraints motivate you and ignite your creativity.
Key Skills
Spring,.NET,C / C++,Go,React,OOP,C#,Data Structures,JavaScript,Software Development,Java,Distributed Systems
Employment Type : Full-Time
Experience : years
Vacancy : 1