At a Glance
- Tasks: Contribute to developing cutting-edge deep learning models and collaborate on innovative AI solutions.
- Company: Reka, a globally distributed foundation model startup with a mission-driven culture.
- Benefits: 5 weeks paid leave, comprehensive healthcare, and generous perks for your well-being.
- Other info: Inclusive culture that values diverse perspectives and fosters creativity.
- Why this job: Join an elite team and make a real impact in the rapidly growing AI industry.
- Qualifications: Experience with deep learning models and proficiency in frameworks like PyTorch or JAX.
The predicted salary is between 60000 - 80000 € per year.
As a Member of Technical Staff on Machine Learning, you will:
- Contribute to the entire development cycle of our cutting-edge large deep learning models.
- Prepare datasets, design architectures, implement solutions, train and evaluate models to improve our products.
- Collaborate closely with engineers and researchers to translate cutting-edge research into practical applications.
- Join us at an exciting moment, wear many hats and help us build something from the ground up!
You may be a good fit, if you have:
- Experience with training and evaluating large deep learning models.
- Proficiency in standard deep learning frameworks (e.g. PyTorch, JAX).
- Proven track record of applying and implementing machine learning algorithms into software applications at scale.
- The ability to build in a fast-paced environment under some uncertainty.
- A kind and collaborative nature and work style.
Reka's mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.
Why Reka?
- An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.
- Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.
- Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.
- Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.
- Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.
- Visa Support: We provide visa assistance, including H1B and OPT transfers, for US employees to ensure a smooth transition and support your career with us.
Member of Technical Staff (ML) employer: Reka
Reka is an exceptional employer, offering a unique opportunity to work at the forefront of AI technology in a collaborative and inclusive environment. With generous benefits including 5 weeks of paid leave and comprehensive healthcare, employees are supported in both their professional and personal lives. Joining Reka means being part of an elite team that values innovation and diversity, all while contributing to meaningful advancements in machine learning from the comfort of a remote-first setup.
StudySmarter Expert Advice🤫
We think this is how you could land Member of Technical Staff (ML)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Reka. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got projects or contributions to open-source that highlight your experience with deep learning models, make sure to share them. A portfolio speaks volumes!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail.
✨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 joining our team at Reka.
We think you need these skills to ace Member of Technical Staff (ML)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with deep learning models and frameworks like PyTorch or JAX. We want to see how your skills align with what we’re looking for, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background makes you a great fit. We love seeing passion and personality, so let that come through in your writing.
Showcase Collaboration Skills:Since we value teamwork, mention any experiences where you’ve worked closely with others on tech projects. Highlighting your collaborative nature will help us see how you’d fit into our team dynamic.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Reka
✨Know Your Models
Make sure you brush up on your knowledge of large deep learning models. Be ready to discuss your experience with training and evaluating these models, and be prepared to share specific examples of how you've implemented machine learning algorithms in real-world applications.
✨Familiarise Yourself with Frameworks
Since proficiency in frameworks like PyTorch and JAX is key, take some time to review your skills in these areas. You might even want to prepare a mini-project or two that showcases your ability to use these tools effectively.
✨Collaboration is Key
Reka values a kind and collaborative nature, so think about times when you've worked closely with others. Be ready to share stories that highlight your teamwork skills and how you've translated research into practical applications alongside engineers and researchers.
✨Embrace the Fast-Paced Environment
Prepare yourself for questions about working under uncertainty and in a fast-paced environment. Think of examples from your past experiences where you've thrived despite challenges, and be ready to discuss how you adapt and stay productive.
