Job details

AI Researcher

About Sentient

At Sentient, we’re pioneering the decentralized artificial general intelligence (AGI) frontier, breaking free from the constraints of centralized AI models. Our cutting-edge platform is designed to democratize AI development, empowering communities to collaboratively train and control AI models in a truly open and accessible ecosystem.

Fueled by our expertise in distributed systems, cryptography, and AI, we’re building a game-changing environment that fosters open-source development and ensures fair value distribution. Say goodbye to the monopolies of the past – Sentient’s decentralized network promotes model composability and adherence to our foundational principles of transparency, trust, and inclusivity.

Imagine being part of a team that’s shaping the future of AGI, where innovation knows no boundaries, and the collective intelligence of global communities drives progress. Join us on this exhilarating journey as we redefine the AI landscape, unleashing the full potential of trustless, decentralized AGI.

Sentient is backed by leading Silicon Valley venture capital firms including Founders’ Fund, Pantera, and Framework.

Responsibilities

Work on cutting-edge generative AI research in a fast-paced environment
Design new agent architectures to improve end-to-end performance of AI workflows
Design, run, and evaluate experiments to improve LLMs on various benchmarks
Execute data engineering tasks to curate data for LLM pre-training, fine-tuning, RAG
Integrate and evaluate models with multi-modal capabilities for different verticals
Read conference papers on generative AI and knowledge retrieval to understand and evaluate new research in the space
Replicate, evaluate, and integrate theoretical data-curation approaches, fine-tuning algorithms, and agent architectures from research papers into real products
Set up fine-tuning and evaluation pipelines on AWS, GCP, and other compute providers
Manage AI workload compute resources and monitoring, keeping track of experiments and assessing results

Required Qualifications

3+ years hands-on experience in generative AI research and/or engineering, whether in industry or through academic work during the Master’s / PhD degree with corresponding published work
Demonstrated expertise in deep learning and transformer models
Mastery of Python (PyTorch, numpy, agentic frameworks) for building AI workflows, fine-tuning models, and writing evaluations
Strong foundation in data structures, algorithms, and software engineering principles
Familiarity with methods for training LLMs (distillation, supervised fine-tuning, policy optimization)
Excellent problem-solving and analytical skills, with a proactive approach to challenges

Values

Appreciate and pursue deep expertise
Embrace extreme ownership and bias for action
Want to take risks and act upon ambition with integrity and empathy
Pursue relentless innovation and experimentation
Invest in personal growth and team collaboration

Benefits

Competitive salary, equity, and insurance
Flexible PTO and WFH policy
Top-of-the-line engineers and technology
Opportunity to shape the direction of a pioneering open AI platform

Apply now

Average salary estimate

$150000 / YEARLY (est.)

min

max

$120000K

$180000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Researcher, Sentient

As an AI Researcher at Sentient, you're stepping into an exciting role that places you at the forefront of decentralized artificial general intelligence (AGI). Here at Sentient, we're transforming the AI landscape by allowing communities to collaboratively train and manage AI models in an open ecosystem. Imagine working alongside a team driven by transparency, inclusivity, and a collective ambition to engineer innovative solutions. Your responsibilities will include conducting groundbreaking research in generative AI while designing new agent architectures that enhance end-to-end performance of our AI workflows. You'll be tasked with running experiments that fine-tune language models (LLMs) and evaluating their effectiveness across various benchmarks. Your Python expertise will shine as you handle data engineering tasks crucial for LLM pre-training and fine-tuning processes. You will also be involved in integrating and evaluating multi-modal model capabilities for diverse applications. The team values deep expertise and encourages you to stay updated by reading research papers and implementing theoretical approaches into our products. If you thrive in a fast-paced, innovative environment and are eager to redefine the future of AGI with us, Sentient is the perfect place for you. Join our journey and be part of a vibrant culture where your efforts directly influence the evolution of AI technology, supported by leading venture capital firms.

Frequently Asked Questions (FAQs) for AI Researcher Role at Sentient

What are the key responsibilities of an AI Researcher at Sentient?

As an AI Researcher at Sentient, your key responsibilities include conducting cutting-edge generative AI research, designing and evaluating new agent architectures to enhance performance, and executing data engineering tasks for LLM pre-training and fine-tuning. You’ll also engage with theoretical approaches from research papers to implement real product solutions and manage our AI workload compute resources.