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Algorithms Researcher Jobs (NOW HIRING)

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$523K - $920K/yr

We are seeking an experienced Machine Learning leader to lead a team of Research Scientists and Machine Learning Engineers working on multimodal LLM and audio algorithms. You will support a highly ...

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Algorithms Researcher information

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$30K

$113.1K

$164.5K

How much do algorithms researcher jobs pay per year?

As of Jun 4, 2026, the average yearly pay for algorithms researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Algorithms Researcher, and why are they important?

To thrive as an Algorithms Researcher, you need a strong background in mathematics, computer science, and algorithm design, typically supported by an advanced degree (Master’s or PhD) in a related field. Familiarity with programming languages like Python or C++, algorithmic libraries, and tools such as MATLAB or Git is common, as well as experience with research publication processes. Critical thinking, creativity, and effective communication are essential soft skills for generating novel solutions and collaborating with interdisciplinary teams. These skills are crucial for developing innovative algorithms that solve complex problems and advance technological progress.

What are some common challenges faced by Algorithms Researchers when transitioning from theoretical work to practical implementation?

Algorithms Researchers often encounter challenges when moving from developing theoretical models to real-world implementation, such as adapting algorithms to work efficiently with large datasets or within hardware and software constraints. Balancing computational complexity with performance, ensuring scalability, and debugging unexpected issues in real-world data are typical hurdles. Collaborating closely with software engineers and domain experts is essential to refine and optimize solutions, bridging the gap between theory and application. This transition offers valuable learning opportunities but requires flexibility and a willingness to iterate on initial designs.

What are Algorithms Researchers?

Algorithms Researchers are professionals who study, design, and analyze algorithms to solve complex computational problems efficiently. They work in areas such as computer science, mathematics, data science, and artificial intelligence, focusing on developing new algorithms or improving existing ones. Their work often involves theoretical analysis, experimentation, and practical implementation of algorithms in software or hardware systems. They may work in academia, industry, or research institutions, contributing to advancements in technology and computational methods.

What is the difference between Algorithms Researcher vs Data Scientist?

AspectAlgorithms ResearcherData Scientist
Required CredentialsDegree in Computer Science, Mathematics, or related fields; strong programming skillsDegree in Statistics, Computer Science, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, analytics teams, consulting firms
Employer & Industry UsageTech companies, research institutions, AI startupsFinance, healthcare, marketing, e-commerce
Common Search & Comparison IntentUnderstanding research focus, technical skills, and innovationData analysis, insights generation, business decision-making

Algorithms Researchers focus on developing new algorithms and advancing theoretical foundations, often working in research labs or academia. Data Scientists analyze data to extract actionable insights, applying existing algorithms and statistical models in practical business contexts. While both roles require strong technical skills, their primary goals and work environments differ significantly.

What cities are hiring for Algorithms Researcher jobs? Cities with the most Algorithms Researcher job openings:
Infographic showing various Algorithms Researcher job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, 41% Part Time, and 6% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction)

Tencent

Palo Alto, CA • On-site

$163K - $307K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 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 EntailsWhat 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 ForWho 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 $163,800.00 to $307,600.00 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.