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Deepseek Jobs (NOW HIRING)

Lululemon Athletica

NY · On-site

$52 - $70/hr

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 ...

Noscen

Founding AI Engineer

Sunnyvale, CA · On-site

$140 - $210/hr

Hands-on experience building and shipping AI systems with LLMs, VLMs, or multimodal models, including the ability to run, adapt, and evaluate open-source models such as DeepSeek, Qwen, Llama, or ...

Corepass

Forward Deployed Engineer

Menlo Park, CA · On-site

$120 - $160/hr

Claude, ChatGPT, Kimi, DeepSeek, GLM). The role We are looking for a Forward Deployed Engineer to sit at the intersection of engineering and customer success for Remy. You will work directly with ...

Corepass

$120 - $160/hr

Claude, ChatGPT, Kimi, DeepSeek, GLM). The role We are looking for a Forward Deployed Engineer to sit at the intersection of engineering and customer success for Remy. You will work directly with ...

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Deepseek information

What is a deepseek engineer?

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 are the key skills and qualifications needed to thrive as a deepseek engineer?

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 deepseek engineers, 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 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 August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Senior AI Agent Engineer - Open Models & Evaluation Systems

Sail Research

San Francisco, CA • On-site

$123K - $169K/yr

Other

Posted 5 days ago

Job description

Sail is the foundation of useful, agentic AI. We are here to take a big swing at the most ambitious engineering challenge of our careers. Everyone working at Sail will become an expert; nothing less will do in our immensely competitive market.

Inference is just one piece of an effective background agent. Let's design and build the rest of the system, that turns billions of tokens into the best possible answers.

What you’ll do

  • Design custom evals for multi-turn, massively parallel agents.

  • Build agent harnesses to improve open model (Deepseek, Qwen, Llama) performance. Claude Code is all about agent/harness codesign; let's do the same for open source!

  • Automate prompt optimization techniques like DSPy.

What we’re looking for

  • Experience building AI agents.

  • Familiarity with open source models.

Interview process

  1. Meet the CEO. This is the first step because we respect your time. Ask any question and get a definitive answer immediately.

  2. Meet the CTO, who will ask about your experience, and share as much technical detail about Sail as you want to hear.

  3. Come in to Sail's SF office for an interview day. Meet the whole team, then you'll have 3-4 hours to work on a problem that closely simulates the work we do daily. It's an objectively scored task, so you'll have immediate feedback on how well your code is working - just like we do in production! AI assistance is highly encouraged, and we'll provide a laptop with all the best tools set up. Finish with a short presentation describing your process, learnings, and results.

  4. Offer. Once the team decides we want to work with you, we make a strong offer quickly and will be quite persistent over email/text/calls :)

Life at Sail

We work out of a beautiful, sunny office in downtown San Francisco. All meals are on us (and actually great; SF is a food paradise and it would be a shame to eat only bowl slop). Everyone gets a Studio Display at their desk. We are serious about investing in anything that saves us time or energy. There are six different ways to make coffee or tea in the office. A friendly (hypoallergenic) black cat named Coco visits occasionally.

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