Summary Description:
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented Director of Machine Learning to take on a critical role with expansive responsibilities and play a leading role in enhancing the Machine Learning function in a growing organization.
The Director of Machine Learning will be responsible in shaping the technical direction and culture of a team specializing in audio, vision, and language ML at the edge. We are seeking a leader that takes a hands-on approach to technical challenges, capable of translating the latest technologies and academic research into accurate and robust solutions. This position must be able to manage and mentor a technical team as well as collaborate with other groups within the company.

Specific Duties and Responsibilities:

• Develop state-of-the-art machine learning models for audio, computer vision, and language applications.
• Manage, mentor, and support team members, giving regular advice and feedback and fostering a collaborative and innovative environment.
• Allocate resources and manage project schedules to meet milestones and enhance team productivity.
• Act as a subject matter expert, keeping current with industry trends, emerging technologies, and academic research. Clearly communicate complex technical concepts to both technical and non-technical audiences.
• Lead the design, implementation, and evaluation of new models, algorithms, and tools. Encourage and facilitate rapid prototyping, benchmarking, and integration of new solutions.
• Collaborate with stakeholders, product managers, and other engineering teams to define technical requirements.
• Deliver production-ready solutions within tight timeframes.
• Foster best practices within the team for model analysis, code quality, and software deployment.

QUALIFICATIONS, EDUCATION, AND EXPERIENCE REQUIRED:

• MS or PhD in Computer Science, Machine Learning or related field.
• 7+ years of industrial work experience developing and deploying ML models for audio or vision applications on resource constrained devices.
• Demonstrated strong communication skills to drive cross-functional alignment.
• Strong C++ and Python programming expertise and familiarity with ML frameworks (e.g. TensorFlow, PyTorch).
• Ability to quickly prototype and iterate on complex ML solutions.
• Strong analytical and problem-solving skills.

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 www.syntiant.com.
  One element in our total compensation package is base pay. The starting base pay for this role is targeted to be between $225,000 - $275,000. 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

• Develop state-of-the-art machine learning models for audio, computer vision, and language applications.
• Manage, mentor, and support team members, giving regular advice and feedback and fostering a collaborative and innovative environment.
• Allocate resources and manage project schedules to meet milestones and enhance team productivity.
• Act as a subject matter expert, keeping current with industry trends, emerging technologies, and academic research. Clearly communicate complex technical concepts to both technical and non-technical audiences.
• Lead the design, implementation, and evaluation of new models, algorithms, and tools. Encourage and facilitate rapid prototyping, benchmarking, and integration of new solutions.
• Collaborate with stakeholders, product managers, and other engineering teams to define technical requirements.
• Deliver production-ready solutions within tight timeframes.
• Foster best practices within the team for model analysis, code quality, and software deployment