At a Glance
- Tasks: Design and build machine learning models to revolutionise mental health support.
- Company: Join Slingshot AI, creators of Ash, the first AI for mental health.
- Benefits: Competitive pay, equity, travel perks, free lunch, and personal therapy coverage.
- Other info: Collaborative team environment with opportunities for growth and learning.
- Why this job: Make a real difference in people's lives with cutting-edge technology.
- Qualifications: 3+ years engineering experience and a passion for machine learning.
The predicted salary is between 63000 - 77000 £ per year.
Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We’re building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply.
Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We’re a well-funded Series A company, having raised $93M from top-tier tech investors.
The role: As a Member of Technical Staff focused on Machine Learning, you will ship models, training infrastructure, harnesses and evals end-to-end: designing, building, and launching the tech that makes Ash differentiated as a specialized model for mental health, to change a billion minds and lives. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better.
We are looking for builders who care deeply about the quality of their work and want to ship things that make a real difference in people's lives. We care more about how you think and build than your specific background. If you're a great engineer who's curious about ML, we'd love to hear from you.
We work on a model-agnostic post-training engine running on our own cluster of leased GPUs managed by SkyPilot, trained by an auto-research loop, and evaluated with our home-grown eval index aimed specifically at mental health. We’re constantly improving, and focus on building feedback loops over features, and constantly learning from our production performance, our psych research team, and scalable data sources.
Our product tech stack uses Dart/Flutter for the app, Kotlin for core backend services, and Next.js/TypeScript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require.
About you:
- 3+ years of engineering experience, owning systems other people rely on.
- Experience working with LLMs, ideally with fine-tuning, harness engineering, and evals.
- Proficient in using agents to do your homework for you.
- Driven by creating a world-class product with a world-class team, want to own what you build, and you're happy tearing down experiments and features as we learn.
- Experience in a fast-paced startup, or the drive to thrive in one.
- Collaborative and direct. You enjoy working in person with a small team.
What we offer:
- A chance to join a passionate tight knit team working on something to change the world.
- Competitive compensation (top of personal market) and meaningful equity.
- Travel between our NYC and London offices.
- Usual startup perks like free lunch and coffee in office plus a generous learning budget.
- We cover your personal therapy.
Member of Technical Staff employer: Slingshot AI
Slingshot AI is an exceptional employer, offering a unique opportunity to work at the forefront of mental health innovation. With a strong emphasis on autonomy and flexibility, employees are empowered to unleash their creativity in a supportive environment that values iterative learning and personal growth. The vibrant culture, combined with competitive compensation and benefits like travel between our NYC and London offices, free lunches, and coverage for personal therapy, makes Slingshot AI a truly rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Slingshot AI or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Slingshot AI.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Slingshot AI.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Slingshot AI that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Member of Technical Staff
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Slingshot AI.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Slingshot AI and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Slingshot AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Slingshot AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
