Research Engineer Tokens Multimodal
Research Engineer Tokens Multimodal
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$ 280000 - 425000
1 Vacancy
Job Description
About Anthropic
Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.
At Anthropic we believe the most impactful safety research will require access to frontier AI systems. The most powerful AIs will operate not just on text but also other modes of data including images video and models have potential to augment human creativity and productivity in exciting ways. However we are very concerned about the risks introduced by powerful multimodal AIs. The Multimodal team at Anthropic builds and studies multimodal models to better understand and mitigate these risks.
Our team works across many parts of a large stack that includes training inference system design and data collection. Some of our core focus areas are:
Foundational Research
We develop new architectures for modeling multimodal data and study how they interact with textonly models at scale.
Building Infrastructure
We work on many infrastructure projects including:
- Complex multimodal reinforcement learning environments.
- Highperformance RPC servers for processing image inputs.
- Sandboxing infrastructure for securely collecting data.
Data Ingestion
We are more interested in running simple experiments at large scale than smaller complex experiments. This requires access to very large sources of multimodal data. We develop tooling to collect process and clean multimodal data at scale.
Because we focus on so many areas the team is looking to work with both experienced engineers and strong researchers and encourage anyone along the researcher/engineer curve to apply.
You may be a good fit if you:
- Have significant software engineering experience
- Are resultsoriented 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
Strong candidates may also have experience with:
- High performance largescale ML systems
- GPUs Kubernetes Pytorch or OS internals
- Language modeling with transformers
- Reinforcement learning
- Largescale ETL
The expected salary range for this position is:
Annual Salary:
$280000 $425000 USD
Logistics
Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.
Locationbased hybrid policy: Currently we expect all staff to be in one of our offices at least 25 of the time. However some roles may require more time in our offices.
Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.
How were different
We believe that the highestimpact AI research will be big science. At Anthropic we work as a single cohesive team on just a few largescale research efforts. And we value impact advancing our longterm goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highestimpact work at any given time. As such we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT3 CircuitBased Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues.
Employment Type
Full Time
