At a Glance
- Tasks: Develop and optimise AI models while collaborating with a talented team.
- Company: Fastino, a cutting-edge AI startup backed by top investors.
- Benefits: Remote work, competitive salary, and opportunities for travel to Silicon Valley.
- Other info: Dynamic environment with potential for rapid career growth.
- Why this job: Join a mission-driven team and shape the future of AI technology.
- Qualifications: Experience in software development and a passion for AI/ML.
The predicted salary is between 60000 - 80000 € per year.
Full-time | Remote with trips to Silicon Valley office | Reports to Founders
Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI.
Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others.
- Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap.
- Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics.
- Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories.
- Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards.
- Partner with Fastino engineering team to ship model updates directly to customers.
Required: Great velocity for building and shipping agents / AI products.
Optional:
- Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies.
- Demonstrated ability to do independent research in Academic or Industry settings.
- Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures.
Software Developer - AI/ ML employer: Fastino Labs
Fastino is an exceptional employer for Software Developers in the AI/ML field, offering a dynamic remote work environment with opportunities to collaborate with industry leaders and alumni from top institutions. Our culture fosters innovation and growth, providing employees with access to cutting-edge projects and the chance to contribute to groundbreaking AI research while enjoying the flexibility of remote work and occasional trips to our Silicon Valley office.
StudySmarter Expert Advice🤫
We think this is how you could land Software Developer - AI/ ML
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space, especially those connected to Fastino. Use LinkedIn or even Twitter to engage with them. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and ML. Whether it's GitHub repos or personal websites, let your work speak for itself. We love seeing what you can do!
✨Tip Number 3
Prepare for the interview like it’s a coding challenge! Brush up on your algorithms and be ready to discuss your thought process. We want to see how you tackle problems, so practice explaining your approach clearly.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to join our mission.
We think you need these skills to ace Software Developer - AI/ ML
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Developer role. Highlight any relevant projects or research in AI/ML, and don’t forget to mention your experience with large-scale models!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and ML, and explain why you want to join our team at Fastino. Be sure to mention how your background fits into our mission of developing efficient AI.
Showcase Your Projects:If you've worked on any cool AI projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we love seeing practical examples of your work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're serious about joining our innovative team!
How to prepare for a job interview at Fastino Labs
✨Know Your AI Stuff
Make sure you brush up on the latest trends and techniques in AI and ML. Familiarise yourself with concepts like reinforcement learning and multimodal models, as these are key to the role. Being able to discuss your understanding of these topics will show that you're not just a candidate, but a passionate expert.
✨Show Off Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving large-scale deep learning or generative AI. Bring examples that highlight your problem-solving skills and how you’ve optimised models or data processing pipelines. Real-world applications of your knowledge can really impress the interviewers.
✨Ask Smart Questions
Don’t just wait for them to ask if you have questions; come prepared with insightful ones! Inquire about their research roadmap or how they measure model performance. This shows that you’re genuinely interested in the company’s work and that you’re thinking critically about how you can contribute.
✨Be Ready for Technical Challenges
Expect some technical questions or challenges during the interview. Brush up on coding skills and be ready to solve problems on the spot. Practising common algorithms and data structures can help you feel more confident and demonstrate your ability to think on your feet.
