Software Engineer, Backend/Applied ML (Safety & Integrity)
Job Description
About this kind of role
What a Software Engineer, Backend/Applied ML (Safety & Integrity) usually does. The employer's own details are in the listing.
Typically does: Designs, develops, tests, and maintains the server-side logic and databases that power applications. This role often involves building and optimizing APIs, ensuring data integrity, and implementing security measures. A focus on safety and integrity means incorporating robust validation and monitoring systems to prevent errors and malicious activity. Responsibilities can also include collaborating with frontend engineers and data scientists to integrate machine learning models.
Tools and skills: Proficiency in programming languages like Python or Java, experience with databases (SQL or NoSQL), cloud platforms (AWS, Azure, or Google Cloud), and familiarity with machine learning frameworks is generally expected.
Good fit for: Individuals with strong analytical and problem-solving skills, a passion for building scalable and reliable systems, and an interest in the ethical implications of artificial intelligence are often successful in this role.
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