Full-Time
Staff Machine Learning Engineer
Confirmed live in the last 24 hours
Cloud-based AI entreprise solution software
AI & Machine Learning
Compensation Overview
$200,000 - $300,000Annually
+ Stock Options
Senior, Expert
San Francisco, CA, USA
Required Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Natural Language Processing (NLP)
Computer Vision
Requirements
- Bachelor's Degree in computer science or a related field
- 8+ years of experience building web applications
- Experience implementing highly-available distributed systems/microservices
- Delivered scalable backend APIs
- Strong interpersonal and communication skills
- Experience writing code and training across distributed systems
- Expertise in machine learning frameworks (e.g., PyTorch or Tensorflow)
- Expertise in scripting languages (e.g., Python and/or shell scripts)
- Subject matter expertise in at least one focus area of machine learning (e.g., computer vision or natural language processing)
Responsibilities
- Designing and coding up the neural network
- Gathering and refining data
- Training and tuning the model
- Deploying the model at scale with high throughput and uptime
- Analyzing the results to continuously update and improve accuracy and speed
- Writing and maintaining scalable, performant code
- Contributing to product and core backend systems improvements
- Improving engineering standards, tooling, and processes
- Developing novel, accurate, and performant ML algorithms
- Conducting metric-driven research experiments
- Providing mentorship and onboarding for ML engineers
- Leading cross-functional collaboration with other teams
- Contributing to defining strategic direction and planning the roadmap
- Maintaining awareness of industry best practices for data maintenance handling
- Adhering to policies, guidelines, and procedures for information asset protection
- Reporting security and policy violations/breaches to appropriate authority
Hive’s mission is to use AI to unlock the next wave of intelligent automation. The company has an industry-leading portfolio of pre-trained models that allow companies of any size to access best-in-class AI solutions at a fraction of the cost and time it would take to build them internally.
Company Stage
Series D
Total Funding
$175.7M
Headquarters
San Francisco, California
Founded
2013
Growth & Insights
Headcount
6 month growth
↑ 11%1 year growth
↑ 57%2 year growth
↑ 76%Benefits
Competitive Pay
Equity
Comprehensive Insurance
Catered Meals
Corporate Gym Membership