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Ai Research Jobs (NOW HIRING)

AI Research Engineer

$200K - $250K/yr

About the role We are seeking a Senior to Principal-level AI Research Engineer to lead the design and development of next-generation agentic AI systems . This role sits at the intersection of ...

About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization ...

AI Research Scientist

San Francisco, CA · On-site

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

AI Research Scientist

San Francisco, CA · On-site +1

$150K - $350K/yr

Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We're an elite team ...

We are seeking a highly motivated AI Research Intern to support the development of innovative artificial intelligence and machine learning solutions. The intern will collaborate with researchers and ...

Our rapidly growing startup is seeking an AI Research Engineer to join our Foundational Models AI team. This role is ideal for researchers and builders who thrive at the intersection of machine ...

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data Science Join a Fortune 500 at the top of its field and one that provides custom solutions to over 150,00 ...

As an AI Research Scientist III at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

AI Research Engineer

New York, NY · On-site

$300K - $400K/yr

Your Role in Our Mission: We're hiring an AI Researcher / AI Research Engineer to push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool, nectar. You'll ...

As an AI Research Scientist II, you will prototype AI and Machine Learning solutions, advance drug design campaigns, and contribute to scientific literature while collaborating with a cross ...

As an AI Research Scientist II at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

The AI Research Director will lead webAI's advanced research initiatives across large language models, multimodal systems, edge inference, and distributed AI. This role drives the scientific vision ...

As an AI Research Scientist III at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods ...

AI Research Scientist

Washington, DC · On-site

$165K - $225K/yr

As an AI research scientist at Gallup, you will shape AI systems built on some of the richest behavioral datasets in the world. If you bring the rigor of a researcher and the instincts of a systems ...

AI Research Engineer

Mountain View, CA · On-site

$241K/yr

About this role We're hiring an AI Research Engineer. We're open to professionals with a few years of experience and ambitious new graduates. In this role, you'll work closely with our Chief AI ...

The AI Research Scientist will design, train, evaluate, and optimize cutting-edge machine learning models, collaborating with various teams to ensure innovations have real-world impact.

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Showing results 1-20

Ai Research information

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

To thrive as an AI Researcher, you need a strong background in mathematics, computer science, and machine learning, typically supported by an advanced degree (Master’s or PhD) in a related field. Proficiency with programming languages such as Python, deep learning frameworks like TensorFlow or PyTorch, and experience with data analysis tools are essential. Creativity, critical thinking, and effective collaboration are vital soft skills for innovating and communicating complex ideas. These skills ensure researchers can develop novel AI solutions, contribute to cutting-edge advancements, and work effectively within interdisciplinary teams.

What is the difference between Ai Research vs Data Scientist?

AspectAi ResearchData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, R&D departments, academiaBusiness environments, tech companies, analytics teams
Industry UsageDeveloping new AI algorithms, models, and theoriesAnalyzing data, building predictive models, generating insights

While both roles involve working with data and algorithms, Ai Research focuses on developing new AI methods and theories, often in research settings. Data Scientists apply these techniques to solve practical business problems through data analysis and modeling. The roles overlap in skills and tools but differ mainly in their objectives and work environments.

What is AI research?

AI research is the scientific study and development of algorithms, models, and systems that enable computers to perform tasks that typically require human intelligence. This includes areas such as machine learning, natural language processing, computer vision, robotics, and reasoning. AI researchers work to advance the field by creating new methods, improving existing technologies, and exploring ethical and societal impacts of artificial intelligence. Their work is crucial in driving innovation across industries, from healthcare to autonomous vehicles.

What are some common challenges faced by AI researchers when working on real-world projects?

AI researchers often encounter challenges such as dealing with insufficient or biased data, ensuring model interpretability, and balancing research innovation with project deadlines. Collaborating closely with data engineers, software developers, and domain experts is essential to address these hurdles and translate theoretical models into practical solutions. Additionally, aligning research outcomes with business goals while keeping up with the rapidly evolving AI landscape can be demanding, but it also provides valuable opportunities for continuous learning and career development.
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$200K - $250K/yr

Full-time

Medical, Retirement, PTO

Posted 11 days ago


Job description

About Dropzone AI
Dropzone's mission is to scale cybersecurity beyond human limits, and augment every single human security engineer/analyst with an army of AI security specialists. Humans alone cannot sufficiently protect our digital future, and AI augmentation is the only way for defenders to reclaim the high ground. We are an award winning company disrupting the $200B+ cybersecurity market.
Powered by Gen AI advancements, our technology offloads repetitive day-to-day work and frees human analysts to focus on real threats and higher-value projects. We are venture-backed, and our team has a rare blend of deep experience across cybersecurity, AI/ML, and SaaS product development. Join us if you want to be on the ground floor of using Gen AI to transform cyber defense. Learn more at www.dropzone.ai.
About the role
We are seeking a Senior to Principal-level AI Research Engineer to lead the design and development of next-generation agentic AI systems. This role sits at the intersection of research and production, with a strong emphasis on:
  • Agent architecture design
  • Harness and memory engineering
  • Robust evaluation and benchmarking of model and agent performance

You will work closely with product and engineering teams to translate cutting-edge research into scalable, real-world systems.
In this role, you will directly shape the core intelligence layer of Dropzone AI. Your work will define how our agents reason, remember, and improve over time, influencing both our product capabilities and the broader direction of applied AI systems.
What we're looking for
  • Someone who thinks in context/harness engineering, not just models
  • A learner who can follow latest research and test them in real-world deployment
  • Deep curiosity about how to convert non deterministic outputs from LLMs to consistent reliable outcomes and replicate expert human intuitions
  • Strong ownership mindset and ability to drive ambiguous problems to clarity

What you'll do
Agentic Architecture
  • Design and implement advanced multi-step reasoning agents (tool use, planning, reflection, self-improvement loops)
  • Develop frameworks for multi-agent coordination and task decomposition
  • Improve reliability, latency, and cost efficiency of agent execution

Memory Systems
  • Architect short-term and long-term memory subsystems (episodic, semantic, retrieval-based, hybrid)
  • Build mechanisms for context compression, retrieval, and grounding
  • Explore novel approaches to continual learning and state persistence

Evaluation & Reliability
  • Define and implement evaluation frameworks for agent performance (task success, reasoning quality, robustness)
  • Build automated eval pipelines (synthetic data, adversarial testing, regression testing)
  • Establish metrics and benchmarks for agent reliability in production

Research → Production
  • Translate latest community research ideas into production-grade systems
  • Run experiments, analyze results, and iterate quickly
  • Contribute to internal knowledge sharing and technical direction

Requirements
  • 5+ years in software engineering, with at least 1+ year applying GenAI in production
  • Proven experience building or researching:
    • Agent frameworks / tool-using LLMs
    • Memory / retrieval systems (RAG, vector DBs, hybrid retrieval)
  • Expert Python developer
  • Familiar with openclaw and Claude Code harness architecture
  • Early-stage startup mindset. You thrive on ambiguity and move with lightspeed execution

Preferred
  • Experience with agent orchestration frameworks (LangGraph, AutoGen, custom systems)
  • Familiarity with AI safety guardrails, hallucination mitigation, and structured output enforcement
  • Experience designing LLM evals (offline + online, human-in-the-loop, synthetic data)
  • Publications or open-source contributions in relevant areas
  • Experience applying latest context/harness engineering techniques to customer facing products
  • Founder or early-stage (first 10 engineers) or experience in standing up a new technology bet within a more established company

Work Environment/Travel
We are a 100% remote company where you will work from your home with company-provided equipment to set you up for success. Semi-frequent travel to professional office settings and other events locally and nationally; some overnight travel expected.
Compensation
In the spirit of pay transparency, we are excited to share the base salary range below, exclusive of fringe benefits or potential bonuses. If you are hired at Dropzone your final base salary compensation will be determined based on factors such as geographic location, skills, education, and/or experience. In addition to those factors, we believe in the importance of pay equity and consider internal equity of our current team members as a part of any final offer. Please keep in mind that hiring at the maximum of the range would not be typical to allow for future and continued salary growth. We also offer a generous benefits package, including company paid health insurance, 401K Plan with employer match, Self-Managed PTO, parental leave, and more.
The pay range for this role is:
200,000 - 250,000 USD per year (Remote)