ZipRecruiter

Log In

1

Deepseek Jobs (NOW HIRING)

Compunnel

Performance Architect

Milpitas, CA · On-site

$194K/yr

Incorporate and extend state-of-the-art models (e.g., GPT-4, Deepseek-R1) and multi-modal architectures. * Collaborate with internal and external stakeholders to disseminate results and iterate rap ...

Wonderschool

Product Manager, Growth

San Francisco, CA · On-site

Knowledge of how to leverage OpenAI, DeepSeek, Zapier, SQL, and automation tools to move fast. Minimal engineering skills required, but strong understanding of how to prototype and build within ...

Wonderschool

Product Manager, Growth

San Francisco, CA · On-site

Knowledge of how to leverage OpenAI, DeepSeek, Zapier, SQL, and automation tools to move fast. Minimal engineering skills required, but strong understanding of how to prototype and build within ...

WireScreen

Senior Software Engineer

New York, NY · On-site

$170K - $210K/yr

Check out this blog from our CEO on how WireScreen traced DeepSeek's origins back to 2023-well before it went mainstream in 2025. About The Role: As a Senior Software Engineer, you'll work ...

Nvidia

OR · Hybrid

At NVIDIA, our team focuses on improving community models like Nemotron, Llama, Gemma, DeepSeek, and Qwen. As a Product Manager for Open Models, you will work with groundbreaking technology to ...

next page

Showing results 1-20

People also search for

All JobsDeepseek Jobs

Deepseek information

What are the key skills and qualifications needed to thrive as a Deep Learning Engineer, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with neural networks. Proficiency in Python, TensorFlow, PyTorch, and familiarity with cloud computing platforms and GPU acceleration is typically required. Strong problem-solving skills, creativity, and effective communication help you design novel models and collaborate with multidisciplinary teams. These skills enable the development and deployment of advanced AI solutions that drive innovation and real-world impact.

What are the typical collaboration patterns for Deep Learning Research Engineers at Deepseek, and how do they work with cross-functional teams?

Deep Learning Research Engineers at Deepseek frequently collaborate with data scientists, software engineers, and product managers to develop and optimize machine learning models. They participate in regular team meetings to align on project goals, share research findings, and integrate new algorithms into production systems. Effective communication is crucial, as these engineers often translate complex research concepts into actionable tasks for engineering teams. This collaborative environment fosters innovation and ensures that research outcomes can be successfully deployed within real-world applications.

What are Deepseek engineers?

Deepseek engineers are professionals who specialize in developing and implementing advanced artificial intelligence (AI) and machine learning solutions, often focusing on natural language processing and search technologies. They typically work for Deepseek, a company known for its work in large language models and AI-driven search capabilities. Their responsibilities include designing, training, and optimizing AI models, as well as integrating these solutions into products and services. Deepseek engineers often collaborate with data scientists and product teams to ensure the technology meets user needs and industry standards.

What is the difference between Deepseek vs Data Analyst?

AspectDeepseekData Analyst
Required CredentialsTypically requires a background in computer science, data science, or related fields; certifications in data analysis or machine learning are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are beneficial
Work EnvironmentPrimarily technical, involving data processing, algorithm development, and machine learning model trainingPrimarily analytical, involving data interpretation, reporting, and visualization
Employer & Industry UsageUsed in tech companies, AI firms, and research institutions focusing on machine learning and AI solutionsUsed across various industries including finance, marketing, healthcare, and consulting for data-driven decision making

Deepseek focuses on developing AI and machine learning models, requiring technical expertise in algorithms and programming. Data Analysts interpret and visualize data to support business decisions. While both roles work with data, Deepseek is more technical and research-oriented, whereas Data Analysts focus on insights and reporting.

More about Deepseek jobs
What cities are hiring for Deepseek jobs? Cities with the most Deepseek job openings:
What states have the most Deepseek jobs? States with the most job openings for Deepseek jobs include:
What job categories do people searching Deepseek jobs look for? The top searched job categories for Deepseek jobs are:
Deepseek jobs near you
Infographic showing various Deepseek job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Temporary. Highlights an 50% In-person, and 50% Remote job distribution.

Part-Time Educator- Sat & Sun availability needed | Orlando Outlet

Lululemon athletica

Orlando, FL • On-site

Part-time

Posted 19 days ago

Lululemon Athletica rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

9th of 102 rated fashion retailers

Job description

Location: United States of America
State/Province/City: Florida
City: Orlando
Business Unit: Store
Time Type: Part-time
Back
Apply
Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest. Lululemon is an Equal Employment Opportunity employer. Employment decisions are based on merit and business needs, and not on race, color, creed, age, sex, gender, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state or provincial and local laws and ordinances. Reasonable accommodation is available for qualified individuals with disabilities, upon request. This Equal Employment Opportunity policy applies to all practices relating to recruitment and hiring, compensation, benefits, discipline, transfer, termination and all other terms and conditions of employment. While management is primarily responsible for seeing that Lululemon equal employment opportunity policies are implemented, you share in the responsibility for assuring that, by your personal actions, the policies are effective.
lululemon is committed to providing reasonable accommodation to applicants with disabilities. If you would like someone from our team to contact you for individualized support, email us ataccommodations@lululemon.com. In your email, please include the position title, the location of the position and the nature of your request.
The use of AI tools, including but not limited to ChatGPT, Microsoft Copilot, Gemini, DeepSeek, or any other AI-assisted software, is strictly prohibited during the interview process. This includes, AI-generated responses, content creation, or any form of automated assistance in live interviews, case studies, technical assessments, or written submissions.
At lululemon, we are committed to privacy, integrity, transparency, and ethical hiring practices. Our commitment to responsible AI ensures that proprietary information is protected and that all hiring decisions are based on an individual's own skills, judgment, and expertise without AI assistance. Any use of AI during the interview process will result in immediate disqualification. lululemon reserves the right to use AI detection tools to verify the authenticity of candidate responses.
Ready to join us?

What Lululemon Athletica employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply