At a Glance
- Tasks: Collaborate with top ML teams to tackle challenging machine learning issues and enhance customer workflows.
- Company: Join a leading tech company focused on machine learning and customer success.
- Benefits: Enjoy flexible time off, competitive salary, and a home office budget.
- Other info: Diverse and inclusive environment with opportunities for growth and learning.
- Why this job: Make a real impact by guiding customers through their ML journey and ensuring their success.
- Qualifications: 3-5 years in machine learning, strong Python skills, and excellent communication abilities.
The predicted salary is between 60000 - 80000 £ per year.
In this role, you'll be collaborating closely with the most advanced ML teams worldwide, tackling some of the most challenging ML issues in areas like computer vision, robotics, natural language processing, and beyond. This specific role will be centered on W&b's engagement with new customers who have recently adopted W&b for their projects. You'll have the chance to work with ML teams across various industries to understand their ML requirements, enhance their ML workflow, integrate W&b into their environment effectively, participate in projects, and educate them on the best practices of our product.
In particular, the person in this role will be tasked with guiding new customers through their onboarding process, understanding their technical needs, showcasing how W&b enhances their capabilities, designing and implementing customer adoption strategies, and ensuring a seamless transition and successful use of our product post-sales. Machine Learning Engineers on our customer success teams play a vital role in the success of our customers at Weights & Biases. You'll collaborate with Sales, Support, Product, and Engineering teams to lead the technical success of our customers after the sales process, acting as the primary source of knowledge and representative to our customers.
You will play a key role in customer adoption, partnering with our product team to steer product development based on customer feedback and usage patterns. This is an ideal opportunity for anyone with machine learning experience who is customer-focused and eager to work with the top ML companies globally, focusing on ensuring customer success and adoption post-sales.
Responsibilities- Master the implementation of efficient, robust, and reproducible machine learning pipelines for engineering teams, leveraging Weights & Biases tools, to ensure smooth customer onboarding and adoption processes.
- Serve as a trusted advisor to new customers by identifying their desired outcomes and clearly communicating W&b's product best practices, ensuring their success through the effective integration and optimization in the post-sales adoption phase.
- Conduct product training sessions and workshops that demonstrate best practices and the diverse solutions W&b offers, aimed at facilitating customer success and adoption post-sales.
- Serve as a pivotal link between customers and internal teams by continuously providing customer feedback and advocating for customer needs, thereby directly influencing the product roadmap and enhancements to reflect real user experiences, trends, challenges, and successes.
- 3-5 years of relevant experience in a similar role
- Experience using one or more of the following packages: TensorFlow/Keras, PyTorch Lightning
- Strong programming proficiency in Python and eagerness to help customers who are primarily users of Python deep learning frameworks and tools be successful
- Excellent communication and presentation skills, both written and verbal
- Ability to effectively manage multiple conflicting priorities, respond promptly and manage time effectively in a fast-paced, dynamic team environment
- Ability to break down complex problems and resolve them through customer consultation and execution.
- Experience with cloud platforms (AWS, GCP, Azure)
- Experience with Linux/Unix
- Proficiency with one or more of the following packages: HuggingFace, Fastai, scikit-learn, XGBoost, LightGBM, Ray, any of the GenAI frameworks
- Experience with data engineering, MLOps and tools such as Docker and Kubernetes
- Experience with data pipeline tools
- Experience as an ML educator and/or building and executing customer training sessions, product demos and/or workshops at a SaaS company
- Flexible time off
- Medical, Dental, and Vision for employees and Family Coverage
- Home office budget with a new high-powered laptop
- Truly competitive salary and equity
- 12 weeks of Parental leave (U.S. specific)
- 401(k) (U.S. specific)
- Supplemental benefits may be available depending on your location
We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will flourish with us. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need additional accommodations to feel comfortable during your interview process, reach out at careers@wandb.com.
Post-Sales Machine Learning Engineer, Customer Success - EMEA (Remote) in London employer: Weights & Biases
Weights & Biases is an exceptional employer that prioritises a collaborative and supportive work culture, making it an ideal place for a London-Based ML Support Engineer II. With opportunities for professional growth and a commitment to maintaining a user-friendly environment, employees benefit from engaging with cutting-edge technology while enjoying the vibrant atmosphere of central London. The company also offers flexible working arrangements and a strong emphasis on team collaboration, ensuring that every team member feels valued and empowered.
StudySmarter Expert Advice🤫
We think this is how you could land Post-Sales Machine Learning Engineer, Customer Success - EMEA (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the ML community, especially those who work at Weights & Biases. A friendly chat can open doors and give you insights that might just help you land that role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repo showcasing your machine learning projects. Highlight any experience with tools like TensorFlow or PyTorch, as this will make you stand out to the hiring team.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your Python skills and ML concepts. Mock interviews with friends or using online platforms can really boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the StudySmarter family. Don’t hesitate, get your application in!
We think you need these skills to ace Post-Sales Machine Learning Engineer, Customer Success - EMEA (Remote) in London
Some tips for your application 🫡
Show Your Passion for ML:When writing your application, let your enthusiasm for machine learning shine through! Share specific projects or experiences that highlight your skills and how they relate to the role. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the job description. Highlight relevant experience with tools like TensorFlow or PyTorch, and mention any customer success stories. This helps us see how you fit into our team!
Be Clear and Concise:We appreciate clarity in communication, so keep your application straightforward. Use bullet points for key achievements and avoid jargon unless it’s necessary. This makes it easier for us to understand your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to track your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Weights & Biases
✨Know Your ML Tools
Make sure you’re well-versed in the machine learning frameworks mentioned in the job description, like TensorFlow, Keras, and PyTorch. Brush up on how these tools can be integrated with W&B to enhance customer workflows.
✨Understand Customer Needs
Prepare to discuss how you would identify and address the specific needs of new customers. Think about examples from your past experience where you successfully guided clients through onboarding and adoption processes.
✨Showcase Communication Skills
Since this role involves a lot of interaction with customers, practice explaining complex ML concepts in simple terms. You might even want to prepare a mini-presentation or demo to showcase your ability to communicate effectively.
✨Be Ready for Problem-Solving
Expect questions that assess your problem-solving skills. Prepare to discuss how you would approach common challenges faced by customers during the post-sales phase and how you would help them overcome these hurdles.
