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- Tasks: Design and optimise ML models to enhance visual decision-making through AI.
- Company: Join a collaborative software platform at the forefront of AI innovation.
- Benefits: Competitive salary, comprehensive benefits, and remote work flexibility.
- Why this job: Make a real impact by developing cutting-edge AI features with a talented team.
- Qualifications: 5+ years in machine learning and proficiency in Python and frameworks like PyTorch/TensorFlow.
- Other info: Exciting opportunity for career growth in a dynamic, innovative environment.
The predicted salary is between 100000 - 120000 £ per year.
A collaborative software platform is seeking a Machine Learning Engineer to enhance visual decision-making through AI. The role involves designing and optimizing ML models and data pipelines, collaborating with cross-functional teams to develop impactful AI features.
Candidates should have 5+ years of experience in machine learning and proficiency in Python and frameworks like PyTorch/TensorFlow.
The compensation ranges from $172,000 to $215,000 plus benefits, based on experience and location.
Senior ML Engineer - Generative AI & RAG (Remote) employer: MURAL
Contact Detail:
MURAL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer - Generative AI & RAG (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and ML space. Attend meetups or webinars, and don’t be shy about asking for referrals. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best ML projects, especially those involving generative AI. This is your chance to demonstrate your expertise in Python and frameworks like PyTorch or TensorFlow. We want to see what you can do!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past experiences in detail. We recommend practicing common ML interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us. Don’t miss out on the chance to land that Senior ML Engineer role!
We think you need these skills to ace Senior ML Engineer - Generative AI & RAG (Remote)
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in machine learning. We want to see how you've designed and optimised ML models before, so don’t hold back on the details!
Get Technical: Since proficiency in Python and frameworks like PyTorch or TensorFlow is key, be sure to mention specific projects where you’ve used these tools. We love seeing real-world applications of your skills!
Collaborate Like a Pro: This role is all about teamwork, so share examples of how you’ve collaborated with cross-functional teams. We’re keen to know how you’ve contributed to impactful AI features in the past.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at MURAL
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with various machine learning models, especially those relevant to generative AI. Be ready to explain how you've designed and optimised these models in past projects.
✨Showcase Your Python Proficiency
Brush up on your Python skills and be prepared to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve PyTorch or TensorFlow.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team projects in the past.
✨Prepare Questions About Their AI Vision
Research the company’s current AI initiatives and come prepared with insightful questions. This shows your genuine interest in their work and helps you understand how you can contribute to their goals.
