At a Glance
- Tasks: Conduct cutting-edge AI research and develop innovative machine learning systems.
- Company: Join a leading tech firm at the forefront of AI advancements.
- Benefits: Enjoy competitive pay, 25 days leave, and a supportive work environment.
- Other info: Great career growth opportunities and a dynamic team culture.
- Why this job: Make a real impact in AI while collaborating with top researchers.
- Qualifications: 2+ years in machine learning and programming experience in Python.
The predicted salary is between 60000 - 80000 € per year.
Our client is looking for a Software Engineer hybrid role at Kings Cross, London. Duration - 6 months (possibility for extension).
Our client is seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.
Responsibilities:
- Carry out cutting‑edge research to advance the science and technology of machine learning systems.
- Design methods, tools, and infrastructure to push forward the state of the art in large language models.
- Collaborate with researchers and cross‑functional partners including communicating research plans, progress, and results.
- Suggest, collect and synthesize requirements and create an effective feature roadmap.
- Code deliverables in tandem with the engineering team.
- Publish research results and contribute to research that impacts Meta product development.
Requirements:
- 2+ years of hands‑on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence.
- Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post‑training.
- Programming experience in Python and hands‑on experience with frameworks such as PyTorch.
- Experience writing software and executing complex experiments involving large AI models and datasets.
- Proven experience to translate insights into business recommendations.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
- Direct experience in generative AI and LLM research.
- PhD degree or research focused Master’s degree in ML areas.
Healthcare contribution and inclusion in company pension scheme. Work laptop and phone. 25 days annual leave (pro‑rata) plus paid bank holidays. Expanding workforce with potential for career progression for top performers.
Software Engineer (IC-3) employer: Mackin Talent
Our client offers an exceptional work environment for Software Engineers at King's Cross, London, where innovation meets collaboration. With a strong commitment to advancing artificial intelligence, employees benefit from a culture that fosters creativity and professional growth, alongside competitive perks such as 25 days of annual leave, a company pension scheme, and opportunities for career progression. Join a team dedicated to making impactful contributions in the field of machine learning while enjoying the vibrant atmosphere of one of London's most dynamic locations.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer (IC-3)
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and machine learning. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Software Engineer (IC-3)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Software Engineer role. Highlight your experience in machine learning, Python programming, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI research and how your background makes you a great fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any interesting projects related to AI or machine learning, make sure to mention them! Include links to your GitHub or any publications if applicable. We’re keen to see your hands-on experience and creativity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at Mackin Talent
✨Know Your Stuff
Make sure you brush up on your knowledge of machine learning, recommendation systems, and AI technologies. Be ready to discuss your hands-on experience with Python and frameworks like PyTorch. The more you can demonstrate your expertise, the better!
✨Showcase Your Projects
Prepare to talk about specific projects where you've developed machine learning models or executed complex experiments. Highlight any challenges you faced and how you overcame them. This will show your problem-solving skills and practical experience.
✨Collaboration is Key
Since the role involves working with cross-functional teams, be ready to discuss how you've collaborated with others in the past. Share examples of how you communicated research plans and results effectively. This will highlight your teamwork skills.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's research goals and the technologies they use. This shows your genuine interest in the role and helps you understand if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers!
