1863 Production Machine Operator jobs in Fremont, CA

Sr. Machine Learning Engineer

Apple, Inc.

Santa Clara, CA 95051

~ 26 min OnsiteEducation AssistanceHealth InsuranceRetirement Benefit

Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
Understanding product requirements then translating them into modeling tasks and engineering tasks
Proficient in at least two programming languages such as: C/C++, Go, Python, Java
6+ years of industry related experience, working in collaborative environments
Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models

SmartExplore AI is experimental.

New, Posted 17 hours ago

Recommended

Machine Learning

Neara

Menlo Park, CA 94025

$160,000-$225,000/yr

New, Posted 1 day ago

Senior Machine Learning Engineer, Perception

Medium

Santa Clara, CA 95051

$145,000-$200,000/yr

Senior Machine Learning Engineer, Perception

PlusAI

Santa Clara, CA 95051

$145,000-$200,000/yr

~ 26 min Onsite

Ph.D. new grad or Masters + 3 years industry experience
Proven experience with LiDAR-based 3D perception and BEV representation models
Familiarity with camera, LiDAR, and radar modalities and their synchronization, calibration, and integration in perception pipelines.
Deep understanding of multimodal sensor fusion architectures and techniques.
Solid foundation in computer vision, deep learning, and 3D geometry.
Proficiency in Python and experience building deep learning pipelines.
Strong expertise in PyTorch, TensorFlow, or JAX.
Ph.D. or Masters in AI, Computer Science, Electrical Engineering, Robotics, or a related field.

SmartExplore AI is experimental.

Sr. Machine Learning Engineer

SupportFinity™

San Francisco, CA 94112

Sr. Fellow Machine Learning Engineer

Advanced Micro Devices

San Jose, CA 95123

Hybrid~ 28 min

Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

SmartExplore AI is experimental.

New, Posted 1 day ago

Sr. ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team (AWS)

Amazon

Cupertino, CA 95014

$143,300/yr

Sr. Machine Learning Engineer - Advertising Technology

Traveltechessentialist

San Jose, CA 95123

RemoteHealth InsurancePaid Time Off

Proven ability to design, deploy, and operate real-time or near–real-time ML systems end to end, including feature pipelines, model training and validation, scalable inference, monitoring, drift detection, and retraining
Strong experience with distributed data processing and large-scale datasets (Spark preferred)
Deep expertise in end-to-end MLOps, including training and inference workflows, CI/CD for ML, model versioning, and automated retraining
8+ years (BS) / 6+ years (MS) of industry experience building and deploying machine learning models in production
Strong ownership of ML observability, including model performance monitoring, data quality checks, drift detection, alerting, and root-cause analysis
Proficiency in Python with ML frameworks such as PyTorch or TensorFlow, and strong working knowledge of Scala or Java
Experience operating cloud-native ML platforms and distributed systems (AWS, SageMaker, Kubernetes, Spark, Databricks) with reliability, scalability, and cost awareness

SmartExplore AI is experimental.

Senior Scientist I (Machine Learning) - Biologics Drug Substance Development, Cell Culture Deve[...]

Allergan

South San Francisco, CA 94080

~ 42 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Strong programming competency for implementing, debugging, and maintaining models and tools in Python or equivalent and proficiency with cloud computing capabilities.
Preferred: Experience in implementing transfer learning; strong understanding of design of experiments (DOE); experience in CMC cell culture process development is highly desirable; basic understanding of mammalian cell and molecular biology and cell culture bioprocess engineering concepts is highly desirable; experience in developing and executing mammalian suspension cell culture processes in shake flasks, Ambr250, and/or 2L bioreactors is highly desirable
Strong attention to detail; quick learner; able to adapt quickly; collaborative and open to ideas of others.
Experience in data visualization tools (e.g., Matplotlib, Plotly) to communicate model findings.
Industry or research experience developing machine learning models related to chemical and biological data.
Strong understanding of statistical methods, ML methodologies (e.g., RNNs, GPR, symbolic regression), and ML frameworks (Sci-kit Learn, TensorFlow, PyTorch or Keras).
Strong analytical and problem-solving skills with demonstrated ability to think critically and creatively; ability to provide solutions both individually and collaboratively with internal experts to develop and optimize the computational infrastructure including cloud resources.
Willingness to learn and execute wet lab experiments in Ambr250 and 2L bioreactors
Preferred prior experience with time series forecasting.
Expertise with developing, implementing, validating, and deploying models, programs and computational solutions using Machine Learning/Deep Learning.
BS, MS, or PhD in Computer Science / Statistics and Applied Mathematics / Bioinformatics / Machine Learning / Computational Biology / Data Science / Chemical Engineering / Bioengineering or a related field, with Bachelors degree and 10+ years of experience OR Master's and 8+ years of experience, OR PhD and no experience necessary.
Familiarity with statistical modelling software/tools (e.g., JMP, SIMCA, Minitab, Design Expert) and proficient with Microsoft Office software.
Experience in authoring and reviewing peer-reviewed publications, technical reports, regulatory documents, and/or presentations at conferences.

SmartExplore AI is experimental.