At a Glance
- Tasks: Train cutting-edge AI models and design innovative finetuning techniques.
- Company: Join a pioneering AI company focused on impactful research.
- Benefits: Competitive salary, equity options, unlimited PTO, and comprehensive health benefits.
- Other info: Diverse team culture with opportunities for growth and collaboration.
- Why this job: Make a real difference in AI while working with top-notch technology and talented teams.
- Qualifications: Strong Python skills and machine learning experience are essential.
As a Research Engineer or Research Scientist in Applied Finetuning, you will directly train the models we launch to the public via Claude.AI and our API. In this role, you will design and iterate on state-of-the-art finetuning techniques, such as Constitutional AI and RLHF, to train our production Claude models. You will implement new algorithms, run experiments on data mixes, design evaluations, and improve our production model training pipeline. This role offers the opportunity to contribute to cutting-edge research while also having a direct and measurable impact on the company’s success.
Responsibilities:
- Implement and optimize finetuning pipelines to efficiently train production-scale language models with techniques like Constitutional AI
- Develop novel prompts and prompting strategies to improve and test model behaviours
- Collaborate with other research teams to translate novel finetuning techniques into our production model training process, ensuring models are helpful, honest, and harmless
- Design and run a new evaluation that tests Claude’s reasoning capabilities
- Collaborate with a research team to develop a robust evaluation for a new model capability they are developing
- Stay current with state-of-the-art research in AI and machine learning, and propose ways to apply these advancements to production systems
You may be a good fit if you:
- Have significant Python programming experience and machine learning 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
- Have clear written and verbal communication
Strong candidates may also have experience with:
- Fine-tuning large language models with supervised learning or reinforcement learning
- Developing evaluations for language models
- Complex shared codebases and RL infrastructure
- Authoring research papers in machine learning, NLP, or AI alignment or similar industry experience
Logistics:
- Location-based 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.
- US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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 you're interested in this work. We think AI systems like the ones we're 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.
Compensation and Benefits:
Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.
- Equity - For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.
US Benefits:
- Optional equity donation matching.
- Comprehensive health, dental, and vision insurance for you and all your dependents.
- 401(k) plan with 4% matching.
- 22 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Stipends for education, home office improvements, commuting, and wellness.
- Fertility benefits via Carrot.
- Daily lunches and snacks in our office.
- Relocation support for those moving to the Bay Area.
UK Benefits:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
Research Engineer, Applied Finetuning employer: Anthropic
At Anthropic, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Research Engineer in Applied Finetuning, you will not only contribute to groundbreaking AI research but also enjoy competitive compensation, unlimited PTO, and comprehensive benefits tailored for both US and UK employees. Our commitment to employee growth and diversity ensures that every team member has the opportunity to thrive and make a meaningful impact in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, Applied Finetuning
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to finetuning techniques or machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to AI and machine learning, and don’t forget to highlight your collaborative spirit – we love teamwork!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are eager to contribute to cutting-edge research, so don’t hesitate to throw your hat in the ring!
We think you need these skills to ace Research Engineer, Applied Finetuning
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python programming and machine learning experience in your application. We want to see how your skills align with the role of Research Engineer in Applied Finetuning, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention your experience with finetuning techniques and any relevant projects you've worked on. This helps us see how you can contribute to our team.
Be Yourself:Don’t worry if you don’t meet every single qualification listed. We encourage you to apply even if you think you might not be a perfect fit. We value diverse perspectives and want to hear your unique voice!
Apply Through Our Website:For the best chance of getting noticed, make sure to submit your application through our website. It’s the easiest way for us to keep track of all the amazing candidates like you!
How to prepare for a job interview at Anthropic
✨Know Your Finetuning Techniques
Make sure you brush up on the latest finetuning techniques like Constitutional AI and RLHF. Be ready to discuss how you've implemented these in past projects or how you would approach them in this role. Showing that you’re current with state-of-the-art research will impress the interviewers.
✨Showcase Your Python Skills
Since significant Python programming experience is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning. Highlight any projects where you've optimised finetuning pipelines or developed novel prompts.
✨Collaborate and Communicate
This role involves collaboration with other research teams, so be ready to discuss your teamwork experiences. Share examples of how you’ve worked with others to translate complex ideas into practical applications. Good communication skills are key, so practice articulating your thoughts clearly.
✨Prepare for Evaluation Design Questions
Expect questions about designing evaluations for model capabilities. Think about how you would test Claude’s reasoning abilities and be prepared to discuss your thought process. Having a structured approach to evaluation design will show that you can contribute meaningfully to the team.