At a Glance
- Tasks: Develop and enhance software solutions while collaborating with peers on innovative projects.
- Company: Join Fitbit, a leader in health tech, now part of Google, making health accessible for everyone.
- Benefits: Enjoy flexible work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a mission-driven team that empowers users to lead healthier lives through technology.
- Qualifications: Bachelor's degree with 5 years of experience in software development and machine learning frameworks.
- Other info: Opportunity to switch teams and projects as you grow in a fast-paced environment.
The predicted salary is between 43200 - 72000 Β£ per year.
This job is brought to you by Jobs/Redefined, the UK\βs leading over-50s age inclusive jobs board. Minimum qualifications: Bachelor\βs degree or equivalent practical experience. 5 years of experience with data structures or algorithms and software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Experience with machine learning model pretraining, fine-tuning, evaluation, and optimization methodologies. Experience in using common machine learning frameworks such as TensorFlow, PyTorch, or Jax. Preferred qualifications: Master\βs degree or PhD in Computer Science or related technical field. Experience publishing in high-quality machine learning journals. Experience in Python and C++. About the job Google\βs software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We\βre looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design, and mobile; the list goes on and is growing every day. As a software engineer, you will work on specific projects critical to Google\βs needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Fitbit\βs wide range of innovative products, including smartwatches, trackers, and a smart scale, help people lead healthier, more active lives by empowering them with data, inspiration, and guidance to reach their health and fitness goals. Coupled with our leading software and Fitbit Premium, our immersive platform experience delivers personalized experiences, insights, and guidance to support our users\β health and wellness. Fitbit\βs mission has always been to help make everyone in the world healthier, and now, as part of Google, we\βll be able to make health even more accessible to everyone. Responsibilities Write and test product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. Design and implement solutions in one or more specialized machine learning areas, leverage or build machine learning infrastructure, and manage machine learning project lifecycle. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. #J-18808-Ljbffr
Senior Research Engineer, Fitbit, AI/ML employer: Google
Contact Detail:
Google Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Research Engineer, Fitbit, AI/ML
β¨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, particularly focusing on frameworks like TensorFlow and PyTorch. This will not only enhance your technical knowledge but also demonstrate your commitment to staying updated in a rapidly evolving field.
β¨Tip Number 2
Engage with the community by attending relevant meetups, webinars, or conferences. Networking with professionals in the field can provide insights into the company culture at Fitbit and may even lead to referrals.
β¨Tip Number 3
Showcase your problem-solving skills by working on personal or open-source projects that involve machine learning. This practical experience can be a great conversation starter during interviews and highlights your hands-on expertise.
β¨Tip Number 4
Prepare for technical interviews by practicing coding challenges and system design problems. Focus on algorithms and data structures, as these are crucial for the role and will help you stand out during the interview process.
We think you need these skills to ace Senior Research Engineer, Fitbit, AI/ML
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant experience in software development, machine learning, and any specific programming languages mentioned in the job description, such as Python and C++. Emphasise your achievements in previous roles, particularly those that align with the responsibilities of the Senior Research Engineer position.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI/ML and how your background makes you a perfect fit for Fitbit. Mention specific projects or experiences that demonstrate your expertise in machine learning frameworks like TensorFlow or PyTorch, and how you can contribute to Fitbit's mission of promoting health and wellness.
Highlight Relevant Projects: In your application, include details about any significant projects you've worked on that relate to machine learning model pretraining, fine-tuning, or evaluation. Discuss your role in these projects and the impact they had, especially if they involved collaboration with teams or stakeholders.
Showcase Continuous Learning: Mention any ongoing education or certifications related to machine learning or software engineering. This could include online courses, workshops, or conferences. Demonstrating a commitment to staying updated in the field will show Fitbit that you're proactive and dedicated to your professional growth.
How to prepare for a job interview at Google
β¨Showcase Your Technical Skills
Be prepared to discuss your experience with data structures, algorithms, and software development. Highlight specific projects where you've used programming languages like Python or C++, and be ready to explain your approach to machine learning model pretraining and optimisation.
β¨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice solving problems on the spot, as this will showcase your analytical thinking and ability to tackle complex issues, which is crucial for a Senior Research Engineer role.
β¨Prepare for Collaborative Discussions
Collaboration is key in this role. Be ready to discuss how you've worked with peers and stakeholders in the past. Share examples of design and code reviews you've participated in, and how you ensured best practices were followed.
β¨Familiarise Yourself with Fitbit's Mission
Understand Fitbit's mission to promote health and wellness through technology. Be prepared to discuss how your skills and experiences align with this mission, and how you can contribute to making health more accessible for everyone.