Find Hive Staff Software Engineer software engineering jobs

Leading provider of cloud-based AI solutions for content understanding, search, and generation, trusted by hundreds of large organizations.

Hive, a leading provider of cloud-based AI solutions, is seeking a Staff Machine Learning Engineer to join their innovative team. With over $120M in funding from prestigious investors and a global presence across San Francisco, Seattle, and Delhi, Hive has established itself as a trusted partner for hundreds of major organizations in content moderation, brand protection, and AI-powered solutions.

The role demands a seasoned professional with 8+ years of experience who can excel in developing and deploying machine learning models at scale. You'll be working with terabyte-scale datasets and state-of-the-art neural networks, while taking ownership of projects from conception to production. The position offers a competitive salary range of $200,000 - $300,000, plus equity opportunities and comprehensive benefits.

As a Staff Machine Learning Engineer, you'll be responsible for the entire ML lifecycle - from designing and coding neural networks to deployment and continuous improvement. You'll lead cross-functional teams, mentor other engineers, and contribute to the strategic direction of the company. The ideal candidate combines technical expertise in frameworks like PyTorch or TensorFlow with strong leadership and communication skills.

The role offers an opportunity to work on cutting-edge AI technology while making a direct impact on one of the fastest-growing AI startups. You'll be part of a team that values innovation, ownership, and rapid development. The position includes comprehensive benefits such as health, dental, and vision insurance, gym membership, paid vacation, and potential equity grants.

Working at Hive means joining a team of ambitious individuals passionate about creating a revolutionary AI company. The steep learning curve and direct impact on company development make this an exciting opportunity for someone looking to shape the future of AI technology. The company's culture emphasizes continuous learning, innovation, and maintaining high engineering standards while moving quickly to deliver solutions at scale.

Staff Machine Learning Engineer position at Hive, focusing on developing and deploying AI models at scale with competitive compensation and benefits.

Staff Machine Learning Engineer

Leading provider of cloud-based AI solutions for content understanding, search, and generation, serving billions of API requests monthly.

Hive is seeking a Staff Software Engineer - Backend to join their innovative AI solutions team. As the leading provider of cloud-based AI solutions, Hive serves billions of API requests monthly and is trusted by hundreds of major organizations worldwide. The company has secured over $120M in funding from prestigious investors including General Catalyst and Visa Ventures.

The role demands an experienced engineer to design and implement features across various backend systems, including REST APIs, microservices, and distributed processing systems. You'll be working on cutting-edge AI technology that transforms content moderation, brand protection, and ad targeting. The position offers significant autonomy and the opportunity to tackle complex scaling challenges.

As a Staff Engineer, you'll be responsible for improving engineering standards, leading technical initiatives, and ensuring system security and performance. The role requires both technical expertise and leadership skills, as you'll be contributing to technical direction and architecting solutions for ambiguous problems.

The company offers a competitive compensation package ($200,000 - $300,000 base salary) with equity options, comprehensive benefits including health, dental, and vision insurance, and a gym membership. Working at Hive means joining a fast-growing AI startup where your work will have direct impact on the company's development.

With offices in San Francisco, Seattle, and Delhi, Hive provides a dynamic environment for ambitious individuals passionate about AI technology. The role offers a steep learning curve and the chance to contribute to revolutionary AI solutions. If you're excited about building scalable systems and shaping the future of AI technology, this position offers an excellent opportunity to make your mark in a rapidly growing field.

Staff Software Engineer position at Hive, building scalable backend systems and APIs for AI-powered content solutions.

Staff Software Engineer - Backend

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, trusted by hundreds of the world's largest and most innovative organizations.

Hive, the leading provider of cloud-based AI solutions, is seeking a Machine Learning Manager to join their team. This role offers an exciting opportunity to lead and grow a team of highly capable machine learning engineers working on large-scale ML projects. 

The ideal candidate will have 4+ years of experience as a machine learning engineer, with a focus on training large deep learning models and working with real-world data. They should also have 2+ years of experience managing machine learning teams. Key responsibilities include interfacing with various teams to build roadmaps, mentoring engineers, participating in technical design and architecture, and driving product milestones.

Hive has raised over $120M in capital and has offices in San Francisco, Seattle, and Delhi. The company offers a competitive salary range of $180,000 - $250,000, with additional stock options available. Benefits include health, vision, and dental insurance, gym membership, and paid vacation.

Join Hive to be part of a revolutionary AI company where your work will have a direct impact on the company's development. This role offers a steep learning curve and the opportunity to contribute to one of the fastest-growing AI startups in San Francisco.

Lead a team of ML engineers at Hive, developing large-scale AI solutions for content understanding and generation.

Machine Learning Manager

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world's largest, fastest growing, and most innovative organizations.

Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world's largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries.

As an Engineering Manager at Hive, you'll lead a team of highly capable and passionate engineers, helping them achieve their goals through mentorship. You'll interface closely with product management, machine learning, QA, and sales teams to build roadmaps supporting the long-term vision of the team. You'll participate in product technical design and architecture, and be involved in the full development cycle.

Key responsibilities include:
- Leading a development team and mentoring engineers
- Participating in technical design and architecture
- Driving delivery for product milestones
- Implementing and managing security protocols
- Collaborating with product managers and QA in delivering product features

Requirements:
- Undergraduate or graduate degree in computer science or similar technical field
- 4+ years experience developing software as an engineer
- 3+ years experience managing engineering teams
- Familiarity with technologies like Node, C++, Scala/Spark, SQL, Cassandra, Docker

Hive offers a competitive salary range of $160,000 - $250,000, along with potential stock options. Benefits include health, vision, and dental insurance, gym membership, and paid vacation.

Join Hive and be part of a revolutionary AI company where your work will have a direct impact on the company's development!

Lead a team of engineers at Hive, the leading provider of cloud-based AI solutions for content understanding.

Hive Staff Software Engineer Software Engineering Jobs

Find Hive Staff Software Engineer software engineering jobs