The Machine Learning Manager leads a team of ML engineers, driving development and delivery of ML models, while ensuring mentorship and product alignment. Responsibilities include collaboration across teams, overseeing projects, and implementing security protocols.
About Hive
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest 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. Together, Hive’s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.
Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!
Machine Learning Manager
In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets. We’re interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
- Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
- Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
- Participate in products technical design and architecture
- Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production.
- Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
- Implement and manage security protocols such as training, code review, and best practices
- Own and manage the risk and security of your business function in coordination with the Security Team
- Maintain awareness of industry best practices for data maintenance handling as it relates to your role
- Adhere to policies, guidelines and procedures pertaining to the protection of information assets
- Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
- Undergraduate or graduate degree in computer science or similar technical field
- 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
- Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
- 2+ years experience managing machine learning teams
- You have an ability to understand and make well-reasoned tradeoffs in designing features
- Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
- Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
- Have experience collaborating with product managers and labeling team in delivering model improvements
Who We Are
We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.
Thank you for your interest in Hive and we hope to meet you soon!
The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
Employees are eligible to participate in a number of Company-sponsored benefits, including health, vision and dental insurance. Employees are also eligible to participate in a gym membership as part of our commitment to employee wellness. In addition, employees will be entitled to paid vacation in accordance with the Company's vacation policy.
Hired applicant may receive an equity grant in the form of an option to purchase stock in the future for a specified price.
Top Skills
AI
Data Collection
Data Labeling
Deep Learning
Machine Learning
Nlp
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Manage the machine learning lifecycle, mentor the team, scale models in business applications, and collaborate with diverse teams for innovation.
Top Skills:
Agile DevelopmentAIData ScienceMachine LearningPythonStatistics
Artificial Intelligence • Natural Language Processing • Generative AI
Lead engineering efforts to enhance AI model performance and scaling systems, managing projects and team development in a dynamic environment.
Top Skills:
AIDistributed SystemsGpuMachine LearningMl Frameworks
Artificial Intelligence • Natural Language Processing • Generative AI
The Engineering Manager leads efforts to enhance ML model performance, manage team projects, coach members, and ensure AI safety practices. Responsibilities include identifying bottlenecks and contributing to technical discussions.
Top Skills:
Gpu ProgrammingMachine LearningMl FrameworksOs InternalsTransformers
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
