At a Glance
- Tasks: Design and develop cutting-edge ML applications that handle millions of requests per second.
- Company: Join Quantcast, a leading AI-powered advertising tech company in San Francisco.
- Benefits: Enjoy hybrid work, bonuses, equity, and comprehensive health benefits.
- Other info: Be part of an inclusive team that values diversity and personal growth.
- Why this job: Make a real impact in the fast-paced world of machine learning and AI.
- Qualifications: Recent graduates with a degree in Computer Science and fluency in Python or Java.
The predicted salary is between 30000 - 40000 £ per year.
Quantcast is a leading AI‑powered advertising technology company headquartered in San Francisco, offering solutions that help marketers reach audiences and deliver measurable outcomes. The Machine Learning team builds and maintains real‑time ML products used to predict audience attributes across millions of bid requests per second.
Responsibilities
- Design, code, test, and debug ML applications and continuously improve large‑scale global systems that respond to millions of real‑time requests per second with efficiency.
- Write clean, efficient, and maintainable code using industry best practices.
- Collaborate closely with product and platform engineering teams, participate in code reviews and provide constructive feedback.
- Identify performance bottlenecks and optimize system components for enhanced scalability.
- Generate and review proposals for further research and development directions.
- Keep up to date with developments in machine learning outside the company.
Requirements
- Newly or recently qualified university graduate with a degree in Computer Science or a related technical field.
- Fluency in Python, Java or a similar programming language.
- Strong skills in mathematics and statistics.
- Exposure to ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems.
- Interest in distributed systems and software design, concurrent algorithms, data structures, and software engineering.
Benefits
- Full‑time roles eligible for bonus, equity, and benefits (hybrid work, vacation, medical, dental, vision insurance, retirement plans).
EEO & Accessibility
Quantcast is committed to building an inclusive and diverse environment where everyone can be their authentic self. Individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. If you need accommodation, please contact us.
Machine Learning Engineer in London employer: Quantcast Corporation
Quantcast is an exceptional employer that fosters a collaborative and innovative work culture, ideal for Machine Learning Engineers eager to make a significant impact in the AI advertising technology space. With a commitment to employee growth, the company offers comprehensive benefits including hybrid work options, equity opportunities, and a focus on inclusivity, ensuring that all team members can thrive both personally and professionally in the vibrant city of San Francisco.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨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 ML projects, GitHub contributions, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills and be ready to tackle technical questions. Practice common ML scenarios and be prepared to discuss your thought process during problem-solving.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your skills in Python, Java, and any ML algorithms you've worked with. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Projects:If you've got any personal or academic projects related to ML, make sure to mention them! We’re keen on seeing practical applications of your skills, so include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Quantcast Corporation
✨Know Your ML Algorithms
Brush up on your understanding of machine learning algorithms like classification, clustering, and recommendation systems. Be ready to discuss how you've applied these concepts in your projects or studies, as this will show your practical knowledge and enthusiasm for the field.
✨Code Like a Pro
Since you'll be expected to write clean and efficient code, practice coding problems in Python or Java before the interview. Familiarise yourself with industry best practices and be prepared to explain your thought process during coding exercises or technical questions.
✨Collaborate and Communicate
Highlight your teamwork skills by sharing examples of how you've collaborated with others on projects. Discuss any experiences you have with code reviews and providing constructive feedback, as this is crucial for working closely with product and platform engineering teams.
✨Stay Updated on Trends
Show your passion for machine learning by discussing recent developments in the field. Mention any relevant research papers or technologies you've explored, as this demonstrates your commitment to continuous learning and staying ahead in the rapidly evolving tech landscape.
