Research Engineer Tokens ML Infra
Research Engineer Tokens ML Infra
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$ 315000 - 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.
About the role
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 is at the forefront of AI research dedicated to developing safe ethical and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pretraining team responsible for developing the next generation of large language models. In this role you will work at the intersection of cuttingedge research and practical engineering contributing to the development of safe steerable and trustworthy AI systems.
Responsibilities:
- Design and implement highperformance ML training infrastructure for large language model research
- Develop and maintain core ML framework primitives in JAX PyTorch etc.
- Create robust automated evaluation and benchmarking systems for model performance
- Implement comprehensive monitoring and debugging tools for ML workflows
- Design and optimize data loading pipelines that maximize training throughput
- Build MLOps tooling to support reproducible research and experimentation
- Collaborate with research teams to prototype and scale novel training architectures
- Develop infrastructure for efficient hyperparameter sweeps and architecture search
You may be a good fit if you have:
- Strong software engineering skills with experience in building distributed systems
- Expertise in Python and experience with distributed computing frameworks
- Deep understanding of cloud computing platforms and distributed systems architecture
- Experience with highthroughput faulttolerant system design
- Strong background in performance optimization and system scaling
- Excellent problemsolving skills and attention to detail
- Strong communication skills and ability to work in a collaborative environment
Strong candidates may have:
- Advanced degree (MS or PhD) in Computer Science or related field
- Experience with language model training infrastructure
- Strong background in distributed systems and parallel computing
- Expertise in tokenization algorithms and techniques
- Experience building highthroughput faulttolerant systems
- Deep knowledge of monitoring and observability practices
- Experience with infrastructureascode and configuration management
- Background in MLOps or ML infrastructure
The expected salary range for this position is:
Annual Salary:
$315000 $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
