Syntiant Logo

Syntiant

Engineer II, Machine Learning

Posted 2 Days Ago
In-Office
Irvine, CA, USA
100K-110K Annually
Junior
In-Office
Irvine, CA, USA
100K-110K Annually
Junior
Develops audio and vision machine learning models and core tools for deployment on edge AI devices and custom hardware accelerators. Responsibilities include prototyping research approaches, optimizing latency, memory bandwidth, data flow, and hardware utilization, collaborating with modeling and embedded software teams, delivering production solutions, and troubleshooting field issues.
The summary above was generated by AI

Summary Description:

Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented Engineer II, Machine Learning to take on a critical role with expansive responsibilities in the Machine Learning team.

The Engineer II, Machine Learning will be responsible for developing state-of-the-art audio and vision models to be deployed on edge devices. We are looking for candidates at the cutting edge of Machine Learning technology that can translate research into accurate and robust solutions.


Requirements

Specific Duties and Responsibilities:

  • Develop Core ML tools and infrastructure to run ML models trained on PyTorch, TensorFlow/Keras on Syntiant Neural Decision Processors.
  • Stay up to date with the latest research by reviewing academic papers in the field.
  • Implement prototypes to test and validate new approaches quickly.
  • Deliver production-ready solutions within tight timeframes.
  • Collaborate with Modeling team and Embedded Software team to run models efficiently in Syntiant Chips.
  • Root cause and fix issues reported in the field.

Qualifications, Education, and Experience Required:

  • MS in Computer Science/Engineering, Machine Learning or related field.
  • 0-2 years of experience with implementation of high performance ML kernels on custom HW accelerators or GPUs.
  • Experience with Performance Optimization, focusing on latency, memory bandwidth, data flow, and maximizing HW utilization.
  • Strong C/C++ and Python programming expertise, experience with PyTorch, TensorFlow, LLVM/MLIR.
  • Ability to quickly prototype and iterate on complex ML solutions.
  • Strong analytical and problem-solving skills.

Benefits

Benefits Summary:

  • Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family. 
  • Dental: Company-paid dental PPO coverage from MetLife, including coverage for Orthodontia. 
  • Vision: Company-paid vision PPO coverage from MetLife / VSP. 
  • Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family. 
  • Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection. 
  • Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan. 
  • 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck. 
  • Other Benefits: A company-provided Employee Assistance Program (EAP), as well as access to additional voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Support, and Identity Fraud Protection.

About Syntiant:

Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting.

One element in our total compensation package is base pay. The starting base pay for this role is targeted to be between $100,000 - $110,000. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.  

HQ

Syntiant Irvine, California, USA Office

Irvine, CA, United States

Similar Jobs

25 Days Ago
In-Office
Long Beach, CA, USA
125K-220K Annually
Mid level
125K-220K Annually
Mid level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Develop and evaluate machine learning models for object classification, anomaly detection, and data-driven space mission tasks. Support data ingestion, preprocessing, feature engineering, experimentation, and model evaluation. Write clean, tested Python code while collaborating with senior engineers. The role is fully onsite in Denver or Long Beach and requires compliance with U.S. ITAR technology export regulations.
Top Skills: GitJaxMlopsPythonPyTorchTensorFlow
25 Days Ago
In-Office
Long Beach, CA, USA
125K-220K Annually
Mid level
125K-220K Annually
Mid level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Develop, train, and evaluate machine learning models for space-domain applications including object classification and anomaly detection. Build data ingestion, preprocessing, feature engineering, and model evaluation pipelines; conduct experiments; track results; and write clean, testable Python code. Collaborate with senior engineers while contributing to AI capabilities supporting space security and autonomous systems.
Top Skills: GitJaxMlopsPythonPyTorchTensorFlow
10 Days Ago
In-Office or Remote
North Carolina, USA
44K-44K Annually
Internship
44K-44K Annually
Internship
Cloud • Information Technology • Internet of Things • Professional Services • Software
Intern will develop and deploy generative AI applications using large language models, optimize neural networks for NLP and machine perception, and train or fine-tune models for scalable, reliable deployment. The role involves model building, performance optimization, cloud-native deployment, data pipelines, and collaboration within Cisco’s product organization.
Top Skills: ClaudeDockerGoGpt-4Large Language ModelsLlamaNatural Language ProcessingNeural NetworksNumpyPandasPythonScikit-LearnScipySQL

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account