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What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer position, and why are they important?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.
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Staff Software Engineer, Developer Platform

Verily Life Sciences

San Bruno, CA • On-site

Full-time

Posted 24 days ago

Job description

Who We Are
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and communities. Uniquely positioned at the intersection of technology, data science, and healthcare, Verily transforms multimodal health data into insights, models, and actions that make healthcare more personalized, predictive, and precise.
Description
The Developer Platform team is responsible for building a cloud-native developer platform (PaaS) that enables the end-to-end software development lifecycle for over 600 engineers at Verily. We furnish a speedy, delightful, scalable, and secure developer journey through integrated capabilities in application templates, developer portals, CI, CD and other functional areas.
We are a product-oriented, highly-effective, world-class platform engineering team that has a large positive impact on the software development process at Verily. As part of this team, you will work closely with engineers who have worked on successful projects like Kubernetes, Istio, and Firebase.
Responsibilities
  • Own the vision, roadmap, and execution for a broad functional area and set the technical direction and priorities for other team members.
  • Design and develop capabilities that leverage state-of-the-art cloud-native open source components (e.g. Kubernetes, Backstage, ArgoCD, Terraform).
  • Scope tasks and set priorities for other team members contributing to your objectives.
  • Drive execution through high-quality implementation and set an example of best practices in code health and production (e.g. monitoring, frequent releases, reliable CI).
  • Collaborate with the engineering team on system architecture and integrations.

Qualifications
Minimum Qualifications
  • BA/BS degree in Computer Science, Electrical Engineering, or a related field; or equivalent practical experience in software engineering.
  • 8+ years experience developing and maintaining reliable, scalable, and secure products and services in production in Go, Python, C++, or similar programming languages.
  • Prior experience with cloud technologies: Google Cloud Platform/Amazon Web Services/Azure or other cloud providers, GitHub Actions, Kubernetes, ArgoCD, Backstage, or related tools.
  • Strong foundation in data structures, algorithms, and system design with strong analytical and debugging skills.
  • Strong communication skills in scenarios like deriving requirements from customers, articulating the scope of a problem, or documenting a proposed system design.

Preferred Qualifications
  • Deep knowledge of Google Cloud Platform and Kubernetes.
  • Experience with microservices, software delivery platforms, DevSecOps, continuous integration, and release management processes.
  • 2+ years experience working in a centralized developer platform team.
  • Passionate about developer experience with a high empathy for users.

This role is eligible for Verily-sponsored immigration support.
The US base salary range for this full-time position is $177,000 - $266,000 + bonus + benefits + equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus or benefits.
Verily Health Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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