2012 Aml Model Development Analyst jobs in San Diego,CA

Inventory Control Specialist: Career Growth & Overtime

Ametek

San Diego, CA 92154

AMN Healthcare Allied

La Mesa, CA 91942

Anduril-1

San Diego, CA 92154

Insomnia Cookies

San Diego, CA 92154

Omni Inclusive

San Diego, CA 92154

Snelling

San Diego, CA

Panda Restaurant Group

Spring Valley, CA 91977

SAS Retail Services

San Diego, CA 92155

You're 18 years or older
Can perform physical work of moving, bending, standing and can lift up to 50 lbs.
Have reliable transportation to and from work location
Have 1-2 years of merchandising experience
Have experience leading and training people
Can use your smartphone or tablet to record work after each shift

Qualcomm

San Diego, CA 92154

Expert level expertise in PyTorch and inference focused model optimization; strong Python engineering skills.
Hands on experience with torch.compile / TorchDynamo or related graph capture and compilation workflows.
Deep understanding of transformer architectures, attention mechanisms, MoEs, and performance trade-offs.
Practical experience with KVcache behavior, serving time optimizations, and memory/performance tradeoffs.
Strong foundation in computer architecture, ML accelerators, and distributed systems.
Proven ability to lead cross-functional technical efforts and influence design decisions.
MS in Computer Science, Machine Learning, Computer Engineering, or Electrical Engineering, or equivalent experience.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, or related work experience.