At a Glance
- Tasks: Develop and deploy machine learning models for mental health applications.
- Company: Global startup focused on innovative mental health solutions.
- Benefits: Equity options, remote work flexibility, and a culture of continuous learning.
- Other info: Join a small, skilled team with opportunities for global travel.
- Why this job: Make a meaningful impact in mental health while working with cutting-edge technology.
- Qualifications: Experience in machine learning and a passion for mental health.
The predicted salary is between 63000 - 77000 £ per year.
Ash by Slingshot AI is hiring a Member of Technical Staff focused on Machine Learning.
You will ship models, training infrastructure, harnesses and evals end-to-end to differentiate Ash as a specialized mental health model.
You’ll own critical systems and collaborate with a small, highly skilled team.
We’re a global startup with offices in NYC and London, offering ownership, equity, and a learning-driven culture. #J-18808-Ljbffr
ML Engineer for Mental Health AI — Equity & Global Travel employer: Ash by Slingshot AI
At Ash by Slingshot AI, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team members enjoy ample opportunities for professional growth while working on impactful projects that enhance mental health support through cutting-edge mobile applications. Located in a vibrant tech hub, we offer a dynamic environment where creativity thrives, and every contribution is valued.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineer for Mental Health AI — Equity & Global Travel
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ash by Slingshot AI!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ash by Slingshot AI.
✨Apply Directly through Our Website
When you find a suitable opening like ML Engineer for Mental Health AI — Equity & Global Travel at Ash by Slingshot AI, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace ML Engineer for Mental Health AI — Equity & Global Travel
Some tips for your application 🫡
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ash by Slingshot AI, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ash by Slingshot AI. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ash by Slingshot AI
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ash by Slingshot AI!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
