Machine Learning Research Engineer
SandboxAQ
- London, England, United Kingdom
- London, England, United Kingdom
À propos
We are a global team that is tech-focused and includes experts in AI chemistry cybersecurity physics mathematics medicine engineering and other specialties. The company emerged from Alphabet Inc. as an independent growth capital-backed company in 2022 funded by leading investors and supported by a braintrust of industry leaders.
At SandboxAQ weve cultivated an environment that encourages creativity collaboration and impact. By investing deeply in our people were building a thriving global workforce poised to tackle the worlds epic challenges. Join us to advance your career in pursuit of an inspiring mission in a community of like-minded people who value entrepreneurialism ownership and transformative impact.
About the Role The SandboxAQ R&D team is looking for a ML Research Engineer to help us bring more AI to the domain of cybersecurity. This includes applying AI in the domain of traditional cybersecurity (AI for security) as well as securing AI-first developer workflows (Security for AI).
A successful candidate will be comfortable building models from scratch finetuning existing ones and running inference efficiently (both generative and quantitative). They will be able to design software systems around those models in close collaboration with our engineering department. Candidates should be familiar with the AI development process and be able to identify potential pitfalls and (security) issues.
They will be part of a diverse team consisting of ML experts cryptographers mathematicians and physicists where they will play a key role in efficient and effective enablement of the cutting-edge technologies being developed at SandboxAQ.
What Youll Do
Conduct research in the cross-section of AI and cybersecurity and translate this research into projects and features
Perform exploratory data analysis and feature engineering on vast quantities of data
Train models and build agents using the latest ML frameworks
Work with the engineering team to integrate research outcomes into the product portfolio
About You
Msc or PhD in Machine Learning Data Science Computer Science or related field with a strong focus on Machine Learning
Strong experience in Python and ML frameworks such as Huggingface Transformers LangChain Tensorflow or PyTorch
Successful track record in the field of ML ideally through a mix of research and production projects
Nice to Have
Experience with agentic frameworks such as OpenAI agents Google ADK or MCP
Experience contributing to open source projects
Experience in another object-oriented language i.e. Java C Kotlin Rust JS
Experience with the evaluation of models
Experience in the cybersecurity domain is a plus but not essential
Experience with static analysis
SandboxAQ welcomes all. We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees personal and professional growth. Once you work with us you cant go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology.
We offer competitive salaries stock options depending on employment type generous learning opportunities medical / dental / vision family planning / fertility PTO (summer and winter breaks) financial wellness resources 401(k) plans and more.
Equal Employment Opportunity : All qualified applicants will receive consideration regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status.
Accommodations We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation please let a member of our Recruiting team know.
Key Skills
Industrial Maintenance
Machining
Mechanical Knowledge
CNC
Precision Measuring Instruments
Schematics
Maintenance
Hydraulics
Plastics Injection Molding
Programmable Logic Controllers
Manufacturing
Troubleshooting
Employment Type:
Full Time
Experience:
years
Vacancy:
1
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Compétences linguistiques
- English
Avis aux utilisateurs
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