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  • Salary / Remuneration Guide:
  • TBA
  • Experience Level Guide:
  • 2-5 years experience with full-stack web development Experience with client-side web development, e.g. JQuery, node or other modern Javascript frameworks, bootstrap, jinja2 or other templating packages
  • Education Level Guide:
  • B.S. in computer science or equivalent practical experience
  • Employment Duration / Type:
  •  
  • Full Time
  • Job Function type:
  •  
  • Engineering, 
  •  
  • Full Stack

Job Details

Full Stack Engineer

Perceptive Automata is a fast-growing machine learning and computer vision company started by Harvard and MIT scientists that is developing a novel approach to help make autonomous vehicles safer for others on (or near) the road. In the coming year, we’re anticipating rapid growth to support an increasing demand for this technology (we're working with Silicon Valley investors who have supported some of the fastest-growing tech companies in the world).

We are hiring a full stack engineer to help develop and maintain our data collection, aggregation, and annotation pipeline. As a member of our small team, you will be expected to use a wide range of skills and be actively engaged in the long-term planning of the collection and analysis of data that is used to train and validate our machine learning models.

Strongly Preferred Skills & Background
B.S. in computer science or equivalent practical experience
2-5 years experience with full-stack web development
Experience with client-side web development,
e.g. JQuery, node or other modern Javascript frameworks, bootstrap, jinja2 or other templating packages
Strong Python programming skills
Experience with relational databases (we use PostgreSQL) and familiarity with data architecture for large-scale, resource-intensive data applications

Also Helpful
Amazon Web Services, including EC2, S3, and RDS
Flask web framework
Experimental psychology, cognitive science or neuroscience

Benefits
Competitive compensation including benefits and equity
Company culture committed to sustainable performance with work/life balance
Guest lectures, learning opportunities with connections to labs at Harvard and elsewhere, and publication opportunities
Lunch reimbursement

Map Directions

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