At a Glance
- Tasks: Develop and optimise cutting-edge AI models while collaborating with a talented team.
- Company: Join a fast-growing startup backed by top investors and industry leaders.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with potential trips to Silicon Valley.
- Why this job: Make a real impact in the AI field and work on innovative projects.
- Qualifications: Experience in software development and a passion for AI/ML technologies.
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 Engineer - AI/ML employer: Fastino Labs
Fastino is an exceptional employer for Software Engineers passionate about AI and ML, offering a dynamic remote work environment with opportunities to collaborate directly with industry leaders in Silicon Valley. Our culture fosters innovation and growth, providing employees with the chance to experiment with cutting-edge technologies while receiving support from a team of experts with backgrounds from top-tier companies. With substantial funding and a clear mission, Fastino not only prioritises employee development but also encourages meaningful contributions to the future of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer - 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 projects, having tangible evidence of your work can really impress the team at Fastino.
✨Tip Number 3
Prepare for the interview by diving deep into Fastino's mission and recent projects. Knowing their research roadmap and how you can contribute will make you stand out as a candidate who’s genuinely interested in the role.
✨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, it shows you’re serious about joining the Fastino team!
We think you need these skills to ace Software Engineer - AI/ML
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight any relevant projects or research in AI/ML, especially those that showcase your ability to build and ship products quickly.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you a perfect fit for our team. Don’t forget to mention any experience with multimodal models or reinforcement learning techniques!
Showcase Your Projects:If you've worked on any cool AI/ML projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see what you've built and how it relates to the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our mission at Fastino!
How to prepare for a job interview at Fastino Labs
✨Know Your Stuff
Make sure you brush up on the latest trends in AI and ML, especially around language models and reinforcement learning techniques. Familiarise yourself with Fastino's research roadmap and be ready to discuss how your skills can contribute to their mission.
✨Showcase Your Projects
Prepare to talk about your previous work, especially any projects involving deep learning or multimodal models. Bring examples that highlight your ability to build and ship AI products quickly, as this is a key requirement for the role.
✨Ask Smart Questions
Think of insightful questions to ask during the interview. This could be about their current challenges in model optimisation or how they envision the future of AI at Fastino. It shows you're genuinely interested and engaged.
✨Cultural Fit Matters
Research Fastino’s culture and values. With a team from prestigious backgrounds, they likely value innovation and collaboration. Be prepared to discuss how you align with their mission and how you can contribute to a positive team dynamic.
