Technical Lead Manager
San Francisco, CA · On-site
Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines. * Standards: Model ...
Technical Lead Manager
San Francisco, CA · On-site
Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines. * Standards: Model ...
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...
Technical Lead Manager
San Francisco, CA · On-site
$23K - $270K/mo
Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines. * Standards: Model ...
Technical Lead Manager
San Francisco, CA · On-site
$23K - $270K/mo
Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines. * Standards: Model ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
Sacramento, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
Sacramento, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Incorporate and extend SOTA models such as GPT-4, Reasoning models (Deepseek-R1), and multi-modal architectures * Collaborate with internal and external stakeholders/ML researchers to disseminate ...
Incorporate and extend SOTA models such as GPT-4, Reasoning models (Deepseek-R1), and multi-modal architectures * Collaborate with internal and external stakeholders/ML researchers to disseminate ...
Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models. * Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU ...
Experience deploying and fine-tuning LLMs (e.g., DeepSeek, Llama, Claude, GPT-4) and GenAI models. * Deep knowledge of Linux, distributed systems, Kubernetes, NFS, Object Storage, and GPU ...
Principal AI Performance Modeling Architect
Santa Clara, CA · On-site
$203K/yr
Incorporate and extend SOTA models such as GPT-4, Reasoning models (Deepseek-R1), and multi-modal architectures * Collaborate with internal and external stakeholders/ML researchers to disseminate ...
Principal AI Performance Modeling Architect
Santa Clara, CA · On-site
$203K/yr
Incorporate and extend SOTA models such as GPT-4, Reasoning models (Deepseek-R1), and multi-modal architectures * Collaborate with internal and external stakeholders/ML researchers to disseminate ...
Senior Researcher
Palo Alto, CA · On-site +1
$127K - $297K/yr
... GPT series, DeepSeek, LLaMA series, etc.) and their training methodologies. 4. Experience in large model optimization, distributed training, and debugging is preferred. 5. Experience in text ...
Senior Researcher
Palo Alto, CA · On-site +1
$127K - $297K/yr
... GPT series, DeepSeek, LLaMA series, etc.) and their training methodologies. 4. Experience in large model optimization, distributed training, and debugging is preferred. 5. Experience in text ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
Los Angeles, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
Los Angeles, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Day-0 supports to many SOTA models, DeepSeek 3.2, Kimi K2.5, etc. * GPU Kernel Development: Design, implement, and optimize high-performance GPU kernels using HIP, Triton, TileLang or other DSLs for ...
Day-0 supports to many SOTA models, DeepSeek 3.2, Kimi K2.5, etc. * GPU Kernel Development: Design, implement, and optimize high-performance GPU kernels using HIP, Triton, TileLang or other DSLs for ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
San Francisco, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
San Francisco, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
San Jose, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
San Jose, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference
Cupertino, CA · On-site
$128K - $177K/yr
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...
Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference
Cupertino, CA · On-site
$128K - $177K/yr
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
... Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models You will be required to understand how these models work inside-out to make informed decisions on how to ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
... Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models You will be required to understand how these models work inside-out to make informed decisions on how to ...
Enable customer success by deeply optimizing open-sourced models (Llama 3, DeepSeek, Mixtral) and proprietary models for our specific hardware topology, utilizing tools like vLLM and TensorRT-LLM.
Enable customer success by deeply optimizing open-sourced models (Llama 3, DeepSeek, Mixtral) and proprietary models for our specific hardware topology, utilizing tools like vLLM and TensorRT-LLM.
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
San Diego, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Research Engineer - Post-Training & Small Language Models (SLMs), Healthcare AI
San Diego, CA · On-site
Small language models & open-weight models Train and optimize open-weight models such as Llama, Qwen, Mistral, or DeepSeek; build specialized small language models (SLMs) for on-premise and cloud ...
Senior Software Engineer, Machine Learning Infrastructure - Generative AI
San Francisco, CA · On-site
A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves - real-time GPU serving, high-throughput batch inference, and fine-tuning ...
Senior Software Engineer, Machine Learning Infrastructure - Generative AI
San Francisco, CA · On-site
A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves - real-time GPU serving, high-throughput batch inference, and fine-tuning ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
... like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
... like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed ...
Product Marketing Manager - AI Platform Software
Santa Clara, CA · On-site
$180K/yr
Technical expertise - Familiarity with popular large language models like DeepSeek, GPT-OSS, Gemma and Phi and an understanding of optimization techniques for accelerating training and inference ...
Product Marketing Manager - AI Platform Software
Santa Clara, CA · On-site
$180K/yr
Technical expertise - Familiarity with popular large language models like DeepSeek, GPT-OSS, Gemma and Phi and an understanding of optimization techniques for accelerating training and inference ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
... Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models You will be required to understand how these models work inside-out to make informed decisions on how to ...
Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs
Cupertino, CA · On-site
$128K - $177K/yr
... Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models You will be required to understand how these models work inside-out to make informed decisions on how to ...
Deepseek information
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 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 is the difference between Deepseek vs Data Analyst?
| Aspect | Deepseek | Data Analyst |
|---|---|---|
| Required Credentials | Typically requires a background in computer science, data science, or related fields; certifications in data analysis or machine learning are common | Usually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Excel, Tableau, or SQL are beneficial |
| Work Environment | Primarily technical, involving data processing, algorithm development, and machine learning model training | Primarily analytical, involving data interpretation, reporting, and visualization |
| Employer & Industry Usage | Used in tech companies, AI firms, and research institutions focusing on machine learning and AI solutions | Used 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 California? For Deepseek jobs in California, the most frequently searched job titles are:
What job categories do people searching Deepseek jobs in California look for? The top searched job categories for Deepseek jobs in California are:
What cities in California are hiring for Deepseek jobs? Cities in California with the most Deepseek job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 11 days ago
Job description
At Instabase, we're passionate about democratizing access to cutting-edge AI innovation to enable any organization to solve previously unsolvable unstructured data problems in their industry. With customers representing some of the largest and most complex organizations in the world, and investors like Greylock, Andreessen Horowitz, and Index Ventures, our market opportunity is near infinite.
Instabase offers a consumption-based pricing model where customers can pay only for what they use, aligning directly with the value our products deliver. It empowers our clients to explore our AI Hub platform features extensively, enabling them to uncover crucial business insights. This customer-centric model allows Instabase to glean insights from diverse use cases and behaviors, ensuring we deliver top-tier solutions that provide unmatched advantages for everyday business operations.
With offices in San Francisco and Bengaluru, Instabase is a truly global company. We are people-first, and we've built a fearlessly experimental, endlessly curious, customer obsessed team who work together and help organizations around the world turn their unstructured data into insights instantly.
Technical Lead Manager (TLM) - AI Systems & Agents
About Instabase and the Evolution of Our Business Model
Instabase is the pioneer in helping the world's largest enterprises-including global banks, insurance leaders, and healthcare giants-unlock and automate value from unstructured data. Our core platform is the industry standard for reading, understanding, and processing complex, unstructured documents at massive scale.
As a strategic addition to our current business model, we are building SuperApp, our natively multimodal, stateful AI assistant and autonomous agent platform. SuperApp represents the next evolution of Instabase: moving from passive document extraction to active, self-correcting agentic execution. By combining our enterprise-grade document understanding with secure, real-time sandboxed code execution, SuperApp enables users to not only parse unstructured data but programmatically act on it, write and run execution scripts, orchestrate complex software tools over Model Context Protocol (MCP), and complete open-ended reasoning tasks in a secure environment.
To lead the engineering team behind this next-generation capability, we are seeking an elite, hands-on Technical Lead Manager (TLM) - AI Systems & Agents.
The Role: Player-Coach Leadership
This is an high-impact, low-bureaucracy role designed for a world-class systems engineer and builder. We keep our teams intentionally lean and fast. You will serve as a Player-Coach leading a tight, elite squad of 3 to 5 AI systems engineers.
At Instabase, we believe managers of small teams should stay close to the metal. Your time will be split:
Compensation: The base salary range for this role is $230,00 to $270,000 + bonus, equity, and benefits. The actual pay may vary based on factors such as location, experience, and skills.
US Benefits:
#Li-Hybrid
Instabase is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.
Instabase offers a consumption-based pricing model where customers can pay only for what they use, aligning directly with the value our products deliver. It empowers our clients to explore our AI Hub platform features extensively, enabling them to uncover crucial business insights. This customer-centric model allows Instabase to glean insights from diverse use cases and behaviors, ensuring we deliver top-tier solutions that provide unmatched advantages for everyday business operations.
With offices in San Francisco and Bengaluru, Instabase is a truly global company. We are people-first, and we've built a fearlessly experimental, endlessly curious, customer obsessed team who work together and help organizations around the world turn their unstructured data into insights instantly.
Technical Lead Manager (TLM) - AI Systems & Agents
About Instabase and the Evolution of Our Business Model
Instabase is the pioneer in helping the world's largest enterprises-including global banks, insurance leaders, and healthcare giants-unlock and automate value from unstructured data. Our core platform is the industry standard for reading, understanding, and processing complex, unstructured documents at massive scale.
As a strategic addition to our current business model, we are building SuperApp, our natively multimodal, stateful AI assistant and autonomous agent platform. SuperApp represents the next evolution of Instabase: moving from passive document extraction to active, self-correcting agentic execution. By combining our enterprise-grade document understanding with secure, real-time sandboxed code execution, SuperApp enables users to not only parse unstructured data but programmatically act on it, write and run execution scripts, orchestrate complex software tools over Model Context Protocol (MCP), and complete open-ended reasoning tasks in a secure environment.
To lead the engineering team behind this next-generation capability, we are seeking an elite, hands-on Technical Lead Manager (TLM) - AI Systems & Agents.
The Role: Player-Coach Leadership
This is an high-impact, low-bureaucracy role designed for a world-class systems engineer and builder. We keep our teams intentionally lean and fast. You will serve as a Player-Coach leading a tight, elite squad of 3 to 5 AI systems engineers.
At Instabase, we believe managers of small teams should stay close to the metal. Your time will be split:
- 60% to 70% Hands-on Engineering: Actively designing multi-turn agent loops, writing production code, building secure sandboxing environments, and architecting systems.
- 30% to 40% Leadership & Mentorship: Recruiting top-tier talent, mentoring engineers, reviewing PRs, and aligning product roadmaps with technical execution.
- Architect Stateful Agent Loops: Design and implement highly reliable, multi-turn agentic planning and execution state machines capable of self-correction, tool orchestration, and long-context memory persistence.
- Build Secure Execution Sandboxes: Own the runtime execution layer where model-generated code (such as Python data-analysis scripts) is safely isolated, monitored, and run in real-time without compromising enterprise security boundaries.
- Pioneer Tool Orchestration & MCP: Expand our agent capabilities by designing composable tool-calling integrations using Model Context Protocol (MCP) and custom API interfaces.
- Build Evaluation & Trajectory Testing Harnesses: Establish programmatic frameworks (using LLM-as-a-judge and trajectory evaluations) to test if agent loops, tool-calling selections, and error recoveries behave safely and deterministically.
- Scale High-Performance Systems: Work on deep systems problems including latency optimization, semantic caching, speculative execution, and streaming intermediate agent states for a responsive user experience.
- Scale the Team: Bootstrap, hire, and mentor a small, elite, high-velocity team of software and AI engineers.
- Orchestration & Frameworks: LangGraph, LangChain, Go/Python, React, Node, Next.js.
- Infrastructure & Security: Secure sandboxed runtimes (Docker, gVisor, WebAssembly), GCP, AWS, Kubernetes, Cloud SQL (PostgreSQL, TimescaleDB), Redis, Pub/Sub.
- AI & Models: Integration with advanced reasoning models (GPT-4o, o3, Claude 3.5 Sonnet, DeepSeek) across custom function-calling, LLM fine-tuning, and hybrid vector-search RAG pipelines.
- Standards: Model Context Protocol (MCP) tool schemas and APIs.
- 8+ Years of Professional Engineering Experience: A strong, proven background in software engineering, with significant tenure building and scaling backend systems, infrastructure, or platform services.
- Active LLM & Agentic Engineering Experience: Practical, hands-on experience building production-grade LLM applications, multi-agent workflows (using DAGs or state machines), or tool-calling executors.
- Systems & Infrastructure Rigor: Deep familiarity with building secure sandboxed runtimes, container isolation, API platforms, caching strategies, or high-throughput real-time data streaming.
- Small-Team Leadership Experience: Proven track record of mentoring senior engineers, driving technical design reviews, and leading high-velocity squads as a Tech Lead, TLM, or hands-on EM.
- An Active Builder: You love writing code. You are excited about the prospect of coding daily and staying out of the meetings and administrative bloat of traditional big-tech management.
- Educational Background: BS, MS, or Ph.D. in Computer Science, Computer Engineering, or a highly quantitative field.
Compensation: The base salary range for this role is $230,00 to $270,000 + bonus, equity, and benefits. The actual pay may vary based on factors such as location, experience, and skills.
US Benefits:
- Flexible PTO: Because life is better when you actually live it!
- Comprehensive Coverage: Top-notch medical, dental, and vision insurance.
- 401(k) with Matching: We've got your back for a secure future.
- Parental Leave & Fertility Benefits: Supporting you in growing your family, your way.
- Therapy Sessions Covered: Mental health matters- 10 free sessions through Samata Health.
- Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.
- Lunch on Us: Enjoy a lunch credit when you're in the office.
#Li-Hybrid
Instabase is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.
About Instabase
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
San Francisco, CA, US
Year founded
2015