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Front End Engineer

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.


Key Responsibilities
  • Design, develop, optimize, and maintain user interfaces and software systems that will enable users to fully utilize the suite of foundation models developed by GenBio AI
  • Work with the product team to plan and deploy our foundation model product and associated data and training modules
  • Advise the product team on all aspect related to the implementation of front end user friendly applications aimed at non technical experts
  • Build and maintain scalable, efficient, and reusable codebases for large-scale foundation model training, adaptation, evaluation, and inference.
  • Collaborate closely with data engineers and research scientists to identify needs and determine new requirements
  • With the product team engage in close collaboration and discussion with our biological scientists users to determine features and enhancement needs to make the product successful
  • Ensure code quality, scalability, and performance through rigorous testing and code reviews.


Qualifications
  • Bachelor’s, Master’s  degree in Computer Science, Engineering, or related field. Experience in life sciences or healthcare is a plus.
  • Experience in designing and executing user facing products for non technical experts
  • Strong programming skills in JavaScript, Python, and modern web development frameworks, and familiarity with GPU-accelerated tools (e.g., CUDA, cuDNN, Triton).
  • Knowledge of the major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerate, or Megatron-LM/DeepSpeed.
  • Familiarity with resource management and scheduling systems (e.g., SLURM, Kubernetes).
  • Proficiency in back-end frameworks like Django, Flask, or Node. js, and database technologies (e.g., PostgreSQL, MongoDB).


Preferred Qualifications
  • Prior experience in an AI company working on front end issues
  • Experience with deep learning workflows.
  • Knowledge of biological data types and challenges and experience with bioinformatics tools.
  • Familiarity with version control systems like Git and CI/CD pipelines.
  • Strong understanding of RESTful APIs, authentication, and deployment pipelines
  • Good knowledge of the FAIR data principles
  • Familiarity with machine learning workflows and biological datasets


$100,000 - $270,000 a year

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Average salary estimate

$185000 / YEARLY (est.)
min
max
$100000K
$270000K

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What You Should Know About Front End Engineer, GenBio AI

Are you ready to make a meaningful impact in the field of biology and medicine? Join GenBio AI as a Front End Engineer in our Palo Alto, CA headquarters! We’re a pioneering startup at the forefront of generative AI, pushing the boundaries of biotechnology and healthcare. As a member of our innovative team, you'll design and develop user-friendly interfaces that empower non-technical experts to leverage the sophisticated foundation models we create. Your role will involve working closely with our product team to plan and deploy these transformative tools, ensuring that our applications meet the highest standards of code quality, scalability, and performance. You’ll collaborate with brilliant scientists and engineers, working together to continuously refine our offerings based on their feedback. With your expertise in JavaScript, Python, and modern web frameworks, you'll help us build efficient, reusable codebases. If you have a background in life sciences or healthcare, that's a big plus! We celebrate diversity and offer an inclusive environment, so if you're passionate about revolutionizing healthcare through AI, we would love to hear from you. Let’s redefine the future together!

Frequently Asked Questions (FAQs) for Front End Engineer Role at GenBio AI
What are the key responsibilities of a Front End Engineer at GenBio AI?

As a Front End Engineer at GenBio AI, your responsibilities include designing and developing user interfaces for non-technical users, optimizing software systems, collaborating with product teams to deploy products, and maintaining efficient codebases for large-scale biological model training. You will also engage closely with biological scientists to refine product features, ensuring a seamless user experience.

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What qualifications are necessary to become a Front End Engineer at GenBio AI?

To become a Front End Engineer at GenBio AI, candidates should have a Bachelor's or Master's degree in Computer Science or a related field, alongside strong programming skills in JavaScript and Python. Experience with web development frameworks and knowledge of deep learning frameworks are essential. Familiarity with resource management, database technologies, and biology-related challenges will also give applicants a competitive edge.

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How does GenBio AI support career growth for Front End Engineers?

GenBio AI supports career growth through a collaborative environment where Front End Engineers work closely with data engineers and scientists. You’ll have opportunities to engage in continuous learning and development through projects that challenge your skills, and we encourage participation in workshops and conferences that enhance your expertise.

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What technologies will a Front End Engineer at GenBio AI be working with?

A Front End Engineer at GenBio AI will work with JavaScript, Python, and modern web frameworks. Familiarity with GPU-accelerated tools, deep learning frameworks such as PyTorch, and back-end frameworks like Django or Flask is crucial. Knowledge of RESTful APIs and database technologies will also be advantageous.

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What is the salary range for a Front End Engineer at GenBio AI?

The salary range for a Front End Engineer at GenBio AI typically falls between $100,000 and $270,000 annually, based on experience and qualifications. We believe in compensating our employees fairly and competitively within the industry.

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Common Interview Questions for Front End Engineer
Can you describe a project where you utilized modern web development frameworks?

In responding to this question, focus on a specific project where you successfully implemented modern web development frameworks. Detail your role, the tools you used, the challenges faced, and the impact your work had on the project outcome. Be sure to highlight your problem-solving skills and teamwork.

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How do you ensure code quality and performance in your projects?

To effectively answer this question, discuss your approach to code reviews, rigorous testing, and the importance of documentation. You might also mention any tools you use for monitoring performance and how you prioritize maintainability and scalability in your code.

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What experience do you have working with biological data types?

Share any relevant experiences where you worked with biological data or bioinformatics tools. Discuss how your technical skills were applied to tackle specific challenges in handling biological datasets, and how you collaborated with scientists or engineers in that context.

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Describe your experience with developing user-facing products for non-technical experts.

Emphasize your understanding of user experience design principles and how you've tailored products to meet the needs of non-technical users. Include examples of how you've gathered feedback from users and made iterations based on their input to improve usability.

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What techniques do you use to troubleshoot issues in front-end applications?

Outline the steps you typically take to identify and resolve issues in front-end applications, including debugging methods, using browser developer tools, and utilizing logging effectively. Mention any specific scenarios that illustrate your troubleshooting skills.

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How do you approach collaboration with data engineers and research scientists?

Discuss your experience working in cross-functional teams, emphasizing open communication, regular meetings to align goals, and how you ensure that both technical and scientific perspectives are valued in the development process.

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What is your experience with version control systems like Git?

Explain your proficiency with Git, including how you utilize it for version control in collaborative projects. Mention your familiarity with branching strategies, pull requests, and how you resolve conflicts when they arise.

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Can you explain the significance of RESTful APIs in front-end development?

In your answer, discuss how RESTful APIs facilitate communication between the front end and back end, allowing seamless data retrieval and user interactions. Provide examples of when you've integrated RESTful APIs into your projects and how it improved functionality.

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What do you know about FAIR data principles?

Share your understanding of the FAIR principles—Findability, Accessibility, Interoperability, and Reusability—and how these concepts apply to data management in your projects. Highlight any efforts you've made to adhere to these principles in your work.

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How would you handle a disagreement with a teammate about the design of a feature?

Address the importance of communication and empathy in resolving disagreements. Describe a specific situation where you navigated a conflict with a focus on listening to your teammate's perspective, finding common ground, and working collaboratively towards a solution.

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DATE POSTED
April 9, 2025

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