Top Tech Jobs & Startup Jobs

As a Software Engineer for Training AI Data, you will evaluate AI-generated code quality, solve coding problems, and write robust test cases. You'll work on various projects involving AI models as they learn to code, requiring 3+ years of software engineering experience, primarily focusing on Python and potentially other programming languages.

The Design Engineer will create user-friendly, data-intensive applications, architect interfaces, develop state management systems, and collaborate with backend engineers. Responsibilities include user interviews, UX design considerations, and solving technical problems for software deployment in sensitive environments.

As a Senior Data Scientist, you'll leverage advanced analytics to solve complex problems for organizations like the FDA. Responsibilities include designing machine learning models, mentoring team members, and collaborating with stakeholders to communicate insights and strategize solutions in public health and regulatory science.

The Senior Engineering Manager will lead a full-stack engineering team to build and launch consumer-facing products in the crypto financial services space. Responsibilities include overseeing product development, managing a large engineering team, driving 0-to-1 product launches, and fostering a high-performance culture. The role demands strong expertise in fintech and blockchain technologies, with a focus on large-scale systems and innovative solutions.

As a Backend Engineer, you will build features, design API methods, and enhance system performance. Responsibilities include improving feature management products, collaborating with frontend engineers, writing tests, and participating in code reviews, while adhering to engineering best practices.

As a Fullstack Software Tech Lead, you will own web and data frontend, API, ETL pipeline, and backend infrastructure, working closely with founders and engineers to design scalable software. Your role will involve mentoring others and improving coding practices within a startup focused on energy efficiency.

The AI/ML Platform Architect at ICA will design and implement an AI/ML-driven data science platform for federal health clients. Responsibilities include architectural design, technology leadership, AWS expertise, data modeling, API design, collaboration with stakeholders, mentorship, documentation, and risk management, ensuring a secure and compliant solution.