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Algorithm Research Jobs in San Jose, CA (NOW HIRING)

Algorithm engineer

Milpitas, CA · On-site

$129K - $153K/yr

The innovative ideas and devices that are advancing humanity all begin with inspiration, research ... Take ownership of algorithm development from concept and prototyping to production deployment

Algorithm engineer

Milpitas, CA

$129K - $153K/yr

The innovative ideas and devices that are advancing humanity all begin with inspiration, research ... Take ownership of algorithm development from concept and prototyping to production deployment

Senior Algorithm Engineer

Milpitas, CA

$121K - $167K/yr

The innovative ideas and devices that are advancing humanity all begin with inspiration, research ... Design, develop, and optimize advanced algorithms for semiconductor metrology, inspection, and ...

Senior Algorithm Engineer

Milpitas, CA

$121K - $167K/yr

The innovative ideas and devices that are advancing humanity all begin with inspiration, research ... Design, develop, and optimize advanced algorithms for semiconductor metrology, inspection, and ...

Algorithm engineer

Milpitas, CA

$129K - $153K/yr

The innovative ideas and devices that are advancing humanity all begin with inspiration, research ... Take ownership of algorithm development from concept and prototyping to production deployment

Algorithm Engineer (5G/Location) Location: Remote USA Employees : Industry : Wireless services ... PhD in Electrical Engineering or Applied Mathematics, or equivalent research experience. * Focused ...

Showing results 41-60

Algorithm Research information

What is algorithm research?

Algorithm research involves studying, designing, analyzing, and optimizing algorithms to solve complex problems efficiently. Researchers in this field explore new computational methods, improve existing algorithms, and evaluate their performance in various contexts. This work is fundamental in areas like computer science, artificial intelligence, data science, and cryptography, driving technological advances and innovation.

What are the key skills and qualifications needed to thrive as an algorithm researcher?

To excel as an Algorithm Researcher, you need a strong background in mathematics, computer science, and algorithm design, often supported by an advanced degree such as a master's or PhD. Proficiency with programming languages (like Python, C++, or Java), machine learning frameworks, and version control systems is essential. Analytical thinking, creativity, and effective communication are crucial soft skills that set top performers apart in this field. These skills are vital for developing innovative, efficient solutions and collaborating within interdisciplinary teams to solve complex computational problems.

What are the typical challenges faced by professionals in algorithm research roles and how can they best address them?

Algorithm Research professionals often encounter challenges such as bridging the gap between theoretical solutions and practical implementation, staying updated with rapid advancements in the field, and collaborating with cross-functional teams to integrate research outcomes into real-world products. To address these challenges, it is helpful to maintain strong communication with engineering teams, participate in continual learning through academic papers and conferences, and adopt an iterative approach to testing and refining algorithms. Building a habit of documenting experiments and results also streamlines collaboration and future development.

What is the difference between Algorithm Research vs Data Scientist?

AspectAlgorithm ResearchData Scientist
Required CredentialsAdvanced degrees in CS, Mathematics, or related fieldsDegree in CS, Statistics, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, analytics teams, tech companies
Industry UsageDeveloping new algorithms, theoretical researchAnalyzing data, building predictive models, insights generation
Common Search/ComparisonYesNo

Algorithm Research focuses on developing and testing new algorithms, often in research or academic settings, requiring advanced technical credentials. Data Scientists analyze data to generate insights and build models, working primarily in business environments. While both roles involve data and programming, their core objectives and work settings differ significantly.

What are popular job titles related to Algorithm Research jobs in San Jose, CA?

For Algorithm Research jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Algorithm Research jobs in San Jose, CA look for?

The top searched job categories for Algorithm Research jobs in San Jose, CA are:

Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

Tencent

Palo Alto, CA • On-site

$158K - $297K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Business UnitTechnology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.What the Role Entails

1.Engage in the research and development of large-scale video world models, including the design and construction of training datasets, foundational model algorithm design, optimization related to pre-training, SFT, and RL, model capability evaluation, and exploration of downstream application scenarios.

2.Analyze R&D challenges scientifically, identify performance bottlenecks, and develop solutions based on first principles to accelerate the development and iteration of world models, ensuring competitiveness and leadership.

3.Explore diverse paradigms for world model implementation, research next-generation model architectures, and push the boundaries of world model capabilities.

Who We Look For

1.Bachelor's degree or higher (preferred) in Computer Science, Artificial Intelligence, Mathematics, or a related field.

2.Solid foundation in deep learning algorithms and proven experience in large model R&D. Candidates with experience in Diffusion Models and Autoregressive Models, publications in top-tier conferences, or practical experience in text-to-image/text-to-video generation are preferred.

3.Familiarity with implementation details of deep learning networks and operators, model tuning for training/inference, CPU/GPU acceleration, and distributed training/inference optimization. Hands-on experience is a plus.

4.Participation in ACM/NOIP competitions is highly desirable.

5.Strong learning, communication, and teamwork skills, coupled with a keen sense of curiosity.

Location State(s)

US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $158,300.00 to $297,000.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.