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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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Senior Product Manager, Exchange Catalog

Verily Life Sciences

San Bruno, CA • On-site

$151.10K - $199.50K/yr

Full-time

Posted 11 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
As the Senior Product Manager, Exchange Catalog, you will lead the core listing and stewardship engine for Verily Exchange, transforming it into a multi-asset marketplace for precision health. You will enable the discovery of world-class data and digital assets by building scalable systems for listing management, private enterprise catalogs, and commercial transaction workflows.
Responsibilities
  • Lead the strategy and execution of the core listing system, enabling seamless CRUD operations and stewardship journeys for listings describing complex biomedical assets.
  • Drive the expansion of the Exchange catalog, incorporating new asset types like algorithms, applications, tools, workflows, and multi-type collections.
  • Build private, internal data catalog capabilities that allow enterprises to securely manage and discover their proprietary assets alongside public offerings.
  • Architect in-product commercial data transaction workflows, defining the technical and operational requirements for licensing and exchanging high-value biomedical assets.
  • Partner with engineering and data science teams to ensure asset metadata and schemas are optimized for discovery across Verily's platform.

Qualifications
Minimum Qualifications
  • Bachelor's degree in a technical or scientific field.
  • 5+ years of experience as a Product Manager developing B2B enterprise solutions or data platforms.
  • 3+ years of experience managing data products, systems, or marketplaces within the healthcare, biomedical, or life sciences industry.
  • Experience building products on cloud infrastructure such as Google Cloud Platform (GCP) or AWS.

Preferred Qualifications
  • Proven track record of building listing management systems or digital marketplaces for complex technical assets.
  • Deep familiarity with biomedical ML models, tools, and workflows used by pharma researchers to accelerate R&D.
  • Experience defining commercial workflows for digital asset licensing or data monetization.
  • Expertise with multi-modal biomedical data (EHR, genomics, imaging), industry standards, and operating within regulated data environments.
  • Proficiency in utilizing agentic AI tools, from coding assistants to prototyping agents, to accelerate product development and data exploration workflows.

Qualified applicants must not require employer sponsored work authorization now or in the future for employment in the United States.
The US base salary range for this full-time position is $135,000-$202,500 + bonus + equity + benefits. 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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