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- Tasks: Develop and fine-tune language models while ensuring safety and quality metrics.
- Company: Join Atla, a London-based startup backed by top investors, focused on impactful AI systems.
- Benefits: Enjoy significant equity stake and work in a collaborative, fast-paced environment.
- Why this job: Be part of a world-class team tackling the toughest challenges in AI alignment.
- Qualifications: Proficiency in ML engineering, especially with language models and software design in Python.
- Other info: This role is in-person; ideal for those eager to learn and adapt.
The predicted salary is between 36000 - 60000 £ per year.
Atla is committed to engineering safe, beneficial AI systems that will have a massive positive impact on the future of humanity. We are a London-based start-up building the most capable AI evaluation models. Become part of our growing world-class team, backed by Y Combinator, Creandum, and the founders of Reddit, Cruise, Rappi, Instacart and more.
Role
As Atla’s research engineer, you’ll develop and fine-tune language models as evaluators as well as use your insights to construct safety guardrails for client LLMs, pushing the state of the art further. As part of your role, you will:
- Fine-tune language models as evaluators both with full parameter and parameter efficient methods to meet quality and safety metrics.
- Set up an extensive evaluation suite including the datasets and metrics to assess model performance in alignment with specific use cases.
- Work closely with founders, advisors, and top-tier researchers to navigate the complexities of AI alignment.
- Build and grow our applied research organisation, setting a high bar of excellence that propels atla forward.
- Tackle unsolved product and engineering challenges – the hardest in the world for LLMs in production.
Please note that this role is in-person.
Qualifications
Evidence of exceptional ML engineering ability:
- Proficiency in training and evaluating language models across GPUs, preferably in PyTorch.
- Demonstrated ability in productionizing and optimizing large-scale ML systems, preferably LLMs.
- Strong software engineering experience with software design / architecture skills, preferably in Python.
- Aptitude for distilling and applying ideas from complex research papers in our products.
- Experience at elite AI research labs (OpenAI, Google Brain, DeepMind, etc.).
- Experience working in complex and high-stakes ML domains (self-driving cars, search, ads, quant finance).
Nice to have
- Publications in top AI conferences.
- Experience as an early engineer at a fast growing startup.
- Interested in and thoughtful about the impacts of AI technology.
About you
You are going to thrive at atla with the following mindset:
- Collaborative and team-oriented, with strong communication skills.
- Comfortable with the uncertainty and fast pace of a hyper-growth startup.
- Willingness to continuously learn and adapt in a dynamic environment.
- Unpretentious and hard working; find the best ideas wherever they come from.
Compensation
- Significant stake in equity as one of the first joiners
Join our driven founding team to make a dent in the universe by engineering safe, beneficial AI systems!
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Research Engineer employer: Atla Ai
Contact Detail:
Atla Ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in language models and AI safety. Being well-versed in current research will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the AI community by attending meetups, webinars, or conferences. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Showcase your hands-on experience with ML systems, especially in production environments. Be prepared to discuss specific projects where you've fine-tuned language models or optimized large-scale systems.
✨Tip Number 4
Demonstrate your collaborative mindset by sharing examples of successful teamwork in previous roles. Highlight how your communication skills have contributed to overcoming challenges in fast-paced environments.
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities and qualifications required for the Research Engineer position at Atla. Tailor your application to highlight your relevant experience in ML engineering, particularly with language models.
Highlight Relevant Experience: In your CV and cover letter, emphasize your proficiency in training and evaluating language models, especially using PyTorch. Mention any experience you have with large-scale ML systems and how you've optimized them in production.
Showcase Your Mindset: Atla values a collaborative and adaptable mindset. In your application, provide examples of how you've worked effectively in team settings and navigated uncertainty in fast-paced environments.
Express Your Interest in AI: Convey your passion for AI technology and its impacts. Discuss any relevant projects or research you've been involved in, especially if they relate to safety guardrails or AI alignment, to demonstrate your thoughtful approach to the field.
How to prepare for a job interview at Atla Ai
✨Showcase Your ML Engineering Skills
Be prepared to discuss your experience with training and evaluating language models, especially in PyTorch. Highlight specific projects where you optimized large-scale ML systems, as this will demonstrate your exceptional engineering ability.
✨Demonstrate Your Problem-Solving Mindset
At Atla, tackling unsolved product and engineering challenges is key. Be ready to share examples of complex problems you've solved in previous roles, particularly in high-stakes ML domains like self-driving cars or finance.
✨Emphasize Collaboration and Communication
Since the role involves working closely with founders and top-tier researchers, showcase your collaborative spirit. Share experiences where effective communication led to successful project outcomes, emphasizing your team-oriented mindset.
✨Express Your Passion for AI Safety
At Atla, a commitment to engineering safe AI systems is crucial. Discuss your thoughts on AI technology's impacts and any relevant research or publications that reflect your interest in AI safety and alignment.
