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Deepseek Jobs in Secaucus, NJ (NOW HIRING)

Clera

LLM Engineer

Manhattan, NY · On-site

$140 - $210/hr

Proficiency with modern LLM APIs such as OpenAI, Anthropic, DeepSeek, Gemini, or similar, with a strong intuition for model selection tradeoffs. * Experience building LLM-powered agents or ...

Clera

LLM Engineer

New York, NY · On-site

Practical experience with modern LLM APIs (OpenAI, Anthropic, DeepSeek, Gemini, or similar) and a track record of shipping real features with them. * Experience building LLM-powered agents or ...

Clera

LLM Engineer

New York, NY · Remote

Practical experience with modern LLM APIs (OpenAI, Anthropic, DeepSeek, Gemini, or similar) and a track record of shipping real features with them. * Experience building LLM-powered agents or ...

Fireworks AI

AI Deployment Strategist

New York, NY · On-site

$180K - $220K/yr

Bonus: experience with inference optimization, model serving infrastructure, or open-source model ecosystems (Llama, Mixtral, DeepSeek, etc.) Why Fireworks? * Solve Hard Problems: Tackle challenges ...

Baseten

Software Engineer - Training Product

New York, NY · On-site

$165K - $330K/yr

Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We've built deeply at the Kubernetes ...

WireScreen

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $150/hr

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 Machine Learning Engineer at WireScreen, you ...

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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.

What are popular job titles related to Deepseek jobs in Secaucus, NJ?

For Deepseek jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Deepseek jobs in Secaucus, NJ look for?

The top searched job categories for Deepseek jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Deepseek jobs?

Cities near Secaucus, NJ with the most Deepseek job openings:

Deepseek jobs near you
Infographic showing various Deepseek job openings in Secaucus, NJ as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, and 12% Part Time. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

LLM Engineer

Clera

Manhattan, NY • On-site

$140 - $210/hr

Other

Posted 14 days ago

Job description

About the Role

You'll be building an AI Supply Chain Manager from the ground up at a Y Combinator-backed AI/supply chain startup, owning LLM systems end-to-end-from early prototypes to production. This is a high-autonomy role where your work directly powers real-world supply chain outcomes: purchase orders, transfer orders, and supplier bookings for CPG brands globally.

What You'll Do

  • Build and iterate on LLM-powered agents that decide what to produce, where to make it, and how to move it through factories, warehouses, and channels.

  • Design robust prompts, tool definitions, structured outputs, and multi-step agent flows that handle edge cases in messy real-world supply chain data.

  • Select and evaluate LLMs based on latency, cost, accuracy, and use-case fit across the supply chain workflow.

  • Ship LLM features from concept to production, owning the full pipeline from API integration to tested and evaluated systems.

  • Build and maintain evaluation frameworks to iterate quickly and safely on prompts and agent behaviors.

  • Set up observability, monitoring, and feedback loops to track production accuracy and continuously improve system performance.

What We're Looking For

  • 3+ years of hands-on experience shipping LLM-powered features or systems in production environments (not just demos or prototypes).

  • Proficiency with modern LLM APIs such as OpenAI, Anthropic, DeepSeek, Gemini, or similar, with a strong intuition for model selection tradeoffs.

  • Experience building LLM-powered agents or automations that are core to production systems.

  • Strong system-design skills for tools/functions, structured outputs, and multi-step agent flow architecture.

  • Experience designing and maintaining evaluation pipelines for prompts, workflows, and LLM outputs.

  • Hands-on experience with LLM observability, monitoring, and logging tools to track latency, accuracy, and quality in production.

  • Practical experience with the HuggingFace ecosystem in real projects.

  • Bonus: experience running self-hosted LLMs in production or serious prototypes.

  • Bonus: background in supply chain, logistics, or operations domain systems.

Compensation & Benefits

Visa sponsorship is available.

Location

On-site in New York, NY, United States.

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