Job Description
The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.
Company Overview
A leading global technology company is building an AI-focused organization that develops the data and evaluation infrastructure powering the next generation of artificial intelligence. The team combines machine learning with large-scale human networks and advanced infrastructure to produce high-quality, model-ready data used by leading AI systems.
The organization operates with a startup-oriented approach while benefiting from extensive global infrastructure and resources. Its work spans multiple AI modalities, including text, images, video, audio, physical AI, autonomous vehicles, and other real-world data applications across numerous countries.
The team is seeking builders who value ownership and are comfortable taking responsibility for an entire problem area. Engineers are expected to work across machine learning, backend systems, and product development while collaborating closely with product managers and customers to create solutions that deliver measurable business value.
What You’ll Do
- Build machine learning and backend systems that transform technical concepts into reliable products used and valued by customers.
- Own a business and technical vertical end to end, identifying opportunities, setting direction, and driving metrics such as revenue, adoption, and customer value.
- Operate effectively in ambiguous environments by prioritizing high-value opportunities, making informed decisions, and turning ideas into shipped products.
- Collaborate with product managers and senior engineering teams to develop and launch revenue-generating products.
- Act as a trusted technical partner in customer relationships when appropriate and use customer insights to support account growth.
- Establish high standards for engineering execution, reliability, and product quality as the business scales.
Basic Qualifications
- Bachelor’s degree or equivalent professional experience in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
- 5+ years of professional experience designing, developing, and operating production machine learning systems.
- Strong backend engineering experience spanning the full path from data processing through model serving.
- Demonstrated ability to drive measurable business impact beyond simply delivering technical features.
- Experience owning a product or product line and influencing metrics such as revenue, adoption, or customer value.
- Proficiency in Python for machine learning and a production systems language such as Go, Java, or C++.
- Ability to develop reliable services and operate them effectively in production environments.
- Comfortable working with ambiguity, independently identifying high-value problems, making decisions, and driving execution.
- Excellent communication skills with the ability to align customers, product teams, and engineering teams around business objectives.
Preferred Qualifications
- Master’s or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related discipline.
- Experience growing a product or business line within a startup or startup-like environment.
- Demonstrated ownership of business outcomes, including revenue and customer growth.
- Experience applying machine learning to real-world data or evaluation domains, including physical-world data collection, reinforcement learning environments, agentic evaluation, multilingual or audio data, data quality, and verification.
- Experience with Generative AI and large language model systems in production.
- Experience developing evaluation harnesses, model tuning systems, forced alignment or automatic speech recognition technologies, or pipelines that maintain models in the development or evaluation loop.
- Expertise in one or more areas including real-world and physical-world data, points of interest and embodied data capture, agentic reinforcement learning environments, multilingual and multimodal machine learning, video and LiDAR annotation, physical AI, or robotics data.
- Strong ability to connect machine learning and engineering decisions to measurable customer and business outcomes.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.
- No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
- No Client Relationship: This company is not a client of SpringCube unless stated.
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