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Algorithm Optimization Specialist / Machine Learning Engineer- Pico- San Jose

ResponsibilitiesFounded in April 2015, Pico is a leading VR company with independent innovation and R&D capabilities, focusing on VR all-in-one technology. Pico is committed to offering immersive and interactive VR experiences to our customers, including providing tailor-made solutions for our enterprise clients in the fields of education and healthcare.Why Join UsCreation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve.Join us.About TeamWe are the Engineering Architecture team of the PICO-Interactive Perception R&D Department. We are responsible for the architecture design and engineering implementation in the Interactive Perception Department. We focus on exploring the low-power consumption deployment of AI models, strive for excellence and aim to become an international team with leading technology.Responsibilities• Be responsible for the optimization and deployment of AI algorithms based on Qualcomm chips, and improve the performance of algorithms on the Qualcomm platform.• Keep regular communication with Qualcomm, closely follow the development trends of Qualcomm chip technology, and provide forward-looking technical suggestions for projects.• Follow up on the latest development of XR business and promote the development and evolution of low-power edge devices.• Continuously pay attention to the new technological trends and research results in the industry, and share excellent practices in the industry.• Promote the development of the AI toolchain and the construction of the technical ecosystem, and be responsible for the software and hardware collaborative design of the AI training system.QualificationsMinimum Qualifications:• Bachelor's degree or higher in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.• 3+ years experience in Python or C++• Have an in-depth understanding of Qualcomm chip architecture, and be familiar with its working principle and performance characteristics.• Familiar with AI heterogeneous computing architecture, understand common AI chip architectures and common AI compiler solutions.Preferred Qualifications:• Demonstrate strong communication skills and the ability to conduct professional technical discussions with Qualcomm's R&D team.• Demonstrate strong innovation skills, the ability to independently address technical challenges in integrating complex algorithms with chips, and a proactive drive to explore new AI technologies and application scenarios.ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.ByteDance Inc. is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2Job Information【For Pay Transparency】Compensation Description (Annually)The base salary range for this position in the selected city is $194000 - $410000 annually.Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).The Company reserves the right to modify or change these benefits programs at any time, with or without notice.For Los Angeles County (unincorporated) Candidates:Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and• Exercising sound judgment.

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$302000 / YEARLY (est.)
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$194000K
$410000K

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What You Should Know About Algorithm Optimization Specialist / Machine Learning Engineer- Pico- San Jose, ByteDance

Are you passionate about machine learning and eager to optimize algorithms for cutting-edge VR technology? Join Pico as an Algorithm Optimization Specialist / Machine Learning Engineer in San Jose, CA! At Pico, a pioneer in virtual reality innovation, you will contribute to our mission of delivering immersive and interactive experiences. Your role will focus on optimizing and deploying AI algorithms on Qualcomm chips, improving performance while ensuring low-power consumption. You'll collaborate closely with the Qualcomm team to stay ahead of technological trends and share best practices in the industry. Your creativity will shine as you help develop an AI toolchain and enhance our technical ecosystem. With at least three years of experience in Python or C++, a strong understanding of Qualcomm chip architectures, and familiarity with AI heterogeneous computing, you’ll find countless opportunities to learn and innovate with us. At Pico, every challenge is viewed as a stepping stone towards growth, and our inclusive culture values your unique perspectives. Together, we’ll inspire creativity and enrich lives. Ready to make an impact? Join us at Pico today!

Frequently Asked Questions (FAQs) for Algorithm Optimization Specialist / Machine Learning Engineer- Pico- San Jose Role at ByteDance
What are the main responsibilities of an Algorithm Optimization Specialist at Pico?

As an Algorithm Optimization Specialist at Pico, your key responsibilities include optimizing AI algorithms for Qualcomm chips, enhancing performance on the Qualcomm platform, and staying informed on technological advancements in the XR field. You will also collaborate closely with Qualcomm to provide insights and promote the development of low-power edge devices while continuously sharing industry best practices.

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What qualifications do I need to apply for the Machine Learning Engineer position at Pico?

To apply for the Machine Learning Engineer position at Pico, you should have at least a Bachelor's degree in Computer Science, Artificial Intelligence, Electrical Engineering, or a related field. Additionally, a minimum of three years of experience in Python or C++, along with a deep understanding of Qualcomm chip architecture, is crucial for success in this role.

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How important is experience with Qualcomm chips for the Algorithm Optimization Specialist role at Pico?

Experience with Qualcomm chips is essential for the Algorithm Optimization Specialist role at Pico. An in-depth understanding of Qualcomm chip architecture, including its principles and performance characteristics, is critical to optimizing AI algorithms effectively and contributing to the development of cutting-edge technology.

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What is the company culture like for an Algorithm Optimization Specialist at Pico?

At Pico, the company culture is collaborative and innovative, offering an engaging environment where every challenge is seen as an opportunity to grow. The inclusive atmosphere values diverse perspectives and encourages team members to express their creativity, making it an exciting place for an Algorithm Optimization Specialist to thrive.

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What opportunities for career growth does Pico offer to Machine Learning Engineers?

Pico provides robust opportunities for career growth to Machine Learning Engineers. By working on advanced VR technology and collaborating with industry leaders like Qualcomm, you can expand your technical expertise and advance your career through continual learning, professional development, and innovative projects that challenge you to push the boundaries of what's possible.

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Common Interview Questions for Algorithm Optimization Specialist / Machine Learning Engineer- Pico- San Jose
Can you explain your experience with optimizing algorithms for hardware platforms?

When responding, describe specific projects where you optimized algorithms for hardware platforms like Qualcomm chips. Highlight your methodology, any challenges you faced, and how you measured performance improvements.

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What programming languages are you proficient in, and how have you used them in machine learning projects?

Mention your proficiency in relevant languages such as Python and C++. Provide examples of machine learning projects where you used these languages for data processing, model training, or algorithm optimization.

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How do you keep up with the latest trends in AI technology?

Explain your approach to staying informed about AI trends, such as following industry publications, participating in online forums, or attending conferences. Be sure to mention any specific areas of AI that particularly interest you.

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Describe a challenging technical problem you encountered and how you solved it.

Share a detailed account of a specific technical challenge you faced, your thought process in diagnosing the issue, and the steps you took to resolve it. Highlight any innovative solutions you implemented.

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What is your understanding of AI heterogeneous computing architecture?

Discuss how AI heterogeneous computing architecture works, explaining its advantages and how it applies to tasks involving diverse processing units for optimal performance. Relate it back to your experiences.

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Can you give an example of a successful collaborative project you worked on?

Provide a specific example of a team project, detailing your role, how you collaborated with others, and the outcome. Focus on communication strategies and any innovation that came from teamwork.

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What methods do you use to measure the performance of AI algorithms?

Discuss various methods and metrics you utilize, such as accuracy, latency, and resource consumption. Explain how you analyze this data to inform optimization efforts.

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Describe your experience with developing AI toolchains.

Provide insight into any previous work involving AI toolchain development. Highlight specific tools or methodologies you employed, and how your experience aligns with the expectations of the role.

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How do you approach communicating complex technical concepts to non-technical stakeholders?

Share your strategies for simplifying technical jargon, using visuals, or analogies to convey complex information clearly and effectively to non-technical team members or clients.

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What drives your interest in working with virtual reality technologies?

Discuss your passion for virtual reality, any personal or professional experiences that fueled this interest, and how you see your role as an Algorithm Optimization Specialist contributing to the evolution of VR technology.

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December 23, 2024

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