Software Engineer, Anthropic
$300-600k
+ Equity
More information about location
AI safety and research company
Open for applications
AI safety and research company
1001+ employees
Open for applications
$300-600k
+ Equity
More information about location
1001+ employees
Company mission
To create reliable, interpretable, and steerable AI systems.
Role
Who you are
- Have significant software engineering experience
- Are results-oriented, with a bias towards flexibility and impact
- Pick up slack, even if it goes outside your job description
- Enjoy pair programming (we love to pair!)
- Want to learn more about machine learning research
- Care about the societal impacts of your work
Desirable
- High performance, large-scale ML systems
- GPUs, Kubernetes, Pytorch, or OS internals
- Language modeling with transformers
- Reinforcement learning
- Large-scale ETL
- Security and privacy best practice expertise
- Machine learning infrastructure like GPUs, TPUs, or Trainium, as well as supporting networking infrastructure like NCCL
- Low level systems, for example linux kernel tuning and eBPF
- Technical expertise: Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems
What the job involves
- You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems
- As a Software Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling
- You're excited to write code when you understand the research context and more broadly why it's important
- Representative projects:
- Optimizing the throughput of a new attention mechanism
- Comparing the compute efficiency of two Transformer variants
- Making a Wikipedia dataset in a format models can easily consume
- Scaling a distributed training job to thousands of GPUs
- Writing a design doc for fault tolerance strategies
- Creating an interactive visualization of attention between tokens in a language model
Application process
- Applications will be reviewed on a rolling basis
Our take
Funded by Google and founded by ex-OpenAI employees, Anthropic is an AI company focused on building a reliable, innovative AI system. While the company is relatively new to the market it has already launched a highly anticipated AI chat assistant called Claude which is set to rival OpenAI's ChatGPT.
Similar to other chatbots, Claude is accessible through a chat interface and can provide a number of conversation and text-processing tasks. A key point of differentiation is that Claude is designed to produce less harmful outputs than that of the other chatbots that came before it.
While there is much praise for the chat assistant, there is still room for improvement with feedback reporting that Claude is worse at maths and grammar compared to its rival. However, with industry giants like Google backing this company from an early stage, it is clear Anthropic has the potential to become a leading player within the AI industry.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
190% employee growth in 12 months
Glassdoor (4.3)
Trustpilot (2.4)
Company
Funding (last 2 of 10 rounds)
Nov 2024
$4bn
GROWTH EQUITY VC
Jul 2024
$50m
GROWTH EQUITY VC
Total funding: $11.8bn
Company benefits
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- Generous subsidy for OneMedical
- 21 weeks of paid parental leave
- Unlimited PTO
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant
- 401(k) plan with 4% matching
- $500/month flexible wellness stipend
- Commuter coverage
- Annual education stipend
- A home office improvement stipend when you first join
- Relocation support for those moving to the Bay Area
Company values
- Here for the mission: We pursue our mission by building frontier systems, studying their behaviors, working to responsibly deploy them, and regularly sharing our safety insights. We collaborate with other projects and stakeholders seeking a similar outcome.
- Unusually high trust: We assume good faith, disagree kindly, and prioritize honesty. We expect emotional maturity and intellectual openness. At its best, our trust enables us to make better decisions as an organization than any one of us could as individuals.
- Do the simple thing that works: We celebrate trying the simple thing before the clever, novel thing. We embrace pragmatism - sensible, practical approaches that acknowledge tradeoffs. We love empiricism - finding out what actually works by trying it - and apply this to our research, our engineering and our collaboration. We aim to be open about what we understand and what we don’t.
- One big team: Collaboration is central to our work, culture, and value proposition. While we have many teams at Anthropic, we feel the broader sense in which we are all on the same team working together towards the mission.
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Dario Amodei
(CEO & Co-Founder)Spent almost 5 years at OpenAI as a Team Lead for AI safety and as the Vice President of Research. Also worked as a Research Scientist at Google.
Jared Kaplan
(Chief Science Officer & Co-Founder)Has been a Professor at John Hopkins University for the past 10 years. Also an experienced researcher having worked previously at OpenAI and the SLAC National Accelerator Laboratory.
Jack Clark
(Co-Founder)Experienced reporter having worked previously at the Register and Bloomberg. Also worked for OpenAI in Strategy and Communications and as a Policy Director.
Sam McCandlish
(Co-Founder)Graduated from Stanford University with a PhD in Theoretical Physics. Previously worked as a Research Lead at OpenAI.
Tom Brown
(Co-Founder)Previously worked as a Member of the Technical Staff for both OpenAI and Google Brain.
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