At a Glance
- Tasks: Design and develop cutting-edge recommendation algorithms for our innovative Everything App.
- Company: Join a pioneering tech company committed to freedom of speech and diverse perspectives.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Fast-paced environment with a focus on innovation and collaboration.
- Why this job: Make a real impact in a dynamic team while shaping the future of technology.
- Qualifications: Master's or PhD in relevant fields with 2+ years of experience in machine learning.
The predicted salary is between 60000 - 80000 £ per year.
At X, we’re pioneering the frontier of technology with our innovative Everything App. Our mission is to revolutionise how people connect, share ideas, and engage in meaningful conversations. We champion freedom of speech and strive to create a platform that embraces diverse perspectives. Our commitment is to foster open dialogue and empower individuals to express themselves freely.
We value:
- Writing code rather than documents
- Shipping products rather than talking about roadmaps
- Big features rather than changing button colours
Your Role
As a Machine Learning Engineer, you will play a pivotal role in providing the most compelling experience on X. Your responsibilities will include:
- Designing and architecting recommendation algorithms across various product surfaces in X
- Collaborating with cross-functional teams to integrate machine learning models into our platform
- Iterating and improving the algorithm by gathering user feedback in real time through experimentation
- Ensuring scalability and efficiency of machine learning systems
- Mentoring junior engineers and contributing to the team's growth
- Staying updated on Machine Learning and Deep Learning industry trends
Who You Are
We're looking for exceptional engineers who are passionate about our mission and have a strong desire to make a meaningful impact. The ideal candidate will have:
- Master, Post-graduate or PhD in computer science, machine learning, information retrieval, recommendation systems, natural language processing, statistics, math, engineering, operations research, or other quantitative discipline; or equivalent work experience
- 2+ years of industry experience working with recommender systems and/or deep learning applications (note - we are open to hiring for this role at all levels)
- Good theoretical grounding in core machine learning concepts and techniques
- Ability to perform comprehensive literature reviews and provide critical feedback on state‑of‑the‑art solutions and how they may fit to different operating constraints
- Experience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, bandits, reinforcement learning, etc.
- Familiarity with one or more DL software frameworks such as Tensorflow, PyTorch.
At X, our small but fast-paced team values innovation, creativity, and a strong commitment to our mission. As a Machine Learning Engineer, you'll have the opportunity to make a significant impact on the future of X and our aspiration to build the Everything App.
If you're an exceptional engineer who shares our passion for freedom of speech, we'd love to hear from you. If you thrive in a dynamic, high-growth tech environment and relish the opportunity to collaborate with passionate, driven over‑achievers, your career with us here at X will be both exhilarating and fulfilling!
Machine Learning Engineer - Core Product in London employer: x
At X, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our dynamic work environment encourages creativity and empowers employees to make a meaningful impact through their contributions to the Everything App. With ample opportunities for professional growth and a commitment to freedom of speech, joining our team as a Machine Learning Engineer means being part of a mission-driven organisation where your skills will be valued and your career can flourish.
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We think this is how you could land Machine Learning Engineer - Core Product in London
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We think you need these skills to ace Machine Learning Engineer - Core Product in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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