Remote (US & CAN)

What You’ll Do

-Design and architect the state-of-the-art AI supercomputers powering our cloud -Introduce technology and software to improve the performance, resiliency, and quality of service of our HPC storage and networking infrastructure -Work closely with our ML team to benchmark, tune, and optimize our hypervisors, network, and storage -Set up monitoring, logging and alerting to ensure high availability and observability -Provide guidance and represent the interests of our HPC customers

You

-Have expertise with architecting, operating, and debugging large scale HPC network and storage infrastructure, ideally using MPI, NCCL, RDMA, Infiniband, and parallel file systems -Are experienced with building complex, high-quality software using Python -Possess a deep understanding of Linux fundamentals, especially its networking stack -Have experience with large GPU clusters -Have experience with virtualization and kubernetes -Come from a strong engineering background - Computer Science, Electrical Engineering, Mathematics, Physics

You will be successful in this role if you

-Have led and taken full ownership over large, ambiguous, cross team projects from conception to production -Enjoy moving fast and making a large business impact -Value working on a team of high performers that hold each other accountable -Are a self-starter, curious, and not afraid to ask when in doubt -Are a quick learner and enjoy learning new technologies -Value working on a low ego team that emphasizes strong communication, collaboration, and getting to the right answer as a team

About Lambda

-We offer generous cash & equity compensation -Investors include Gradient Ventures, Google’s AI-focused venture fund -We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability -Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG -We have a wildly talented team of 200, and growing fast -Health, dental, and vision coverage for you and your dependents -Commuter/Work from home stipends -401k Plan with 2% company match -Flexible Paid Time Off Plan that we all actually use

Salary Range Information

Based on market data and other factors, the salary range for this position is $180,000 - $250,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Location: China - We are looking for 2024, 2025, 2026 doctoral students and outstanding master students. - Focus on deep learning / machine learning, computer vision, natural language processing, knowledge graph, speech, big data / data science, autonomous driving / robotics, and other fields. - Having abundant project experience, published papers in top conferences and journals of computer science is a plus. - Internship experience in Top AI Laboratory and Top Startup is preferred. - Having won international AI competitions and ACM competitions are preferred. You will get: Treatment - Super-class salary! - Priority in residency establishment! - Company sponsored post doc program! Growth - Get 1V1 guidance from Baidu AIfield Top 20 hotshot tutor group. - Participate in professional trainings such as leadership and business thinking training programs. - Gain priority to participate in academic Top conferences. - Participate in AIDUer academic exchanges and project sharing regularly. Platform - The best research team, the most advanced research projects, the best AI landing scences. - Massive real data, implement the research results in real business scenario.

San Francisco, CA

As an AI Researcher, you will be building next generation open models, both large language models and computer vision models such as diffusion models, using the computation and software infrastructure at Together. You will be working closely with the data engineering team to unveil the recipe of building open models that push the frontier, and will be working with the algorithm and engineering team to make your model widely available to everyone. You will also interact with customers to help them in their journey of training, using, and improving their AI applications using open models. Your research skills will be vital in staying up-to-date with the latest advancements in NLP and Computer Vision, ensuring that we stay at the cutting edge of open model innovations.

Requirements

Strong background in Natural Language Processing or Computer Vision Experience in building state-of-the-art models at large scale Passion in contributing to the open model ecosystem and pushing the frontier of open models Excellent problem-solving and analytical skills Bachelor's, Master's, or Ph.D. degree in Computer Science, Electrical Engineering, or equivalent practical experiences Responsibilities

Taking advantage of the computational infrastructure of Together to create the best open models in their class Understanding and improving the full lifecycle of building open models; release and publish your insights (blogs, academic papers etc.) Collaborating with cross-functional teams to deploy your model and make available to a wider community and customer base Staying up-to-date with the latest advancements in NLP and Computer Vision About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more

Location: Palo Alto, CA - Hybrid

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

Working at SambaNova This role presents a unique opportunity to shape the future of AI and the value it can unlock across every aspect of an organization’s business and operations, including innovating from strategic product pathfinding to large-scale production. We are excited to have talents on board, pushing towards democratizing the modern LLM capability in real-world use cases.

Responsibilities SambaNova is hiring a Principal Engineer for the Foundation LLM team.

• Design and implement large-scale data pipelines that feed billions of high-quality tokens into LLMs.
• Continuously improve SambaNova’s LLM by exploring new ideas, including but not limited to new modeling techniques, prompt engineering, instruction tuning, and alignment.
• Curate and crawl the necessary dataset to induce domain specificity.
• Collaborate with product management and executive teams to develop a roadmap for continuous improvement of LLM and incorporate new capabilities.
• Work closely with the product team and our customers to translate product requirements into requisite LLM capabilities.
• Expand LLM capabilities into new languages and domains.
• Develop applications on top of LLMs including but not limited to semantic search, summarization, conversational agents, etc.

Basic Qualifications - Bachelor's or Master's degree in engineering or science fields - 5-10 years of hands-on engineering experience in machine learning

Additional Required Qualifications - Experience with one or more deep learning frameworks like TensorFlow, PyTorch, Caffe2, or Theano - A deep theoretical or empirical understanding of deep learning - Experience building and deploying machine learning models - Strong analytical and debugging skills - Experience with either one of Large Language Models, Multilingual Models, Semantic Search, Summarization, Data Pipelines, Domain Adaptation (finance, legal, or bio-medical), and conversational agents. Experience in leading small teams. Experience in Python and/or C++.

Preferred Qualifications - Experience working in a high-growth startup - A team player who demonstrates humility - Action-oriented with a focus on speed & results - Ability to thrive in a no-boundaries culture & make an impact on innovation

Please visit our careers page at the link below.