Remote NLP Engineer

Remote
Roles:
Data
Must-have skills:
GoPythonNLP
Nice-to-have skills:
ElasticsearchKubernetes
Considering candidates from:
Europe, Belarus and Ukraine
Work arrangement: Remote
Industry: Security Systems Services
Language: English
Level: Senior
Required experience: 5+ years
Size: 11 - 50 employees
Logo of Archipelo

Remote NLP Engineer

Remote
Archipelo is building a code security platform that gives organizations the ability to verify the authenticity and provenance of code within their software development lifecycle. They are solving a painful problem that affects every software developer on the planet: ensuring software security, authenticity, integrity, and compliance - by providing the context for how the code was created.

They ensure that secure coding best practices are implemented proactively at the earliest stages of the SDLC, from research and design to development and deployment.
Right now, they are seeking a Senior NLP Engineer to lead technology development on the frontier of code discovery and developer productivity. A successful applicant is an expert in data science, machine learning, and complex data analysis spanning natural language, code syntax and networks. 

Tasks:
  • Build complete data processing systems that drive products, systems or applications 
  • Lead experimentation processes that accelerate prototyping and maximize resource utilization
  • Process data pipelines for machine learning operations: scheduling, ETL, dataflow programming, SQL, data labeling, representation learning, hyperparameter tuning, and model management
  • Produce and deploy internal and external APIs
  • Design and implement predictive models on multiple decision platforms
  • Apply the latest techniques from research and academia to real-world problems in the production environment
Must-have skills:
  • Expertise in Natural Language Processing and Understanding (NLP & NLU)
  • Expertise in microservices and cloud computing—in at least one cloud platform
  • Familiar with distributed systems and the orchestration of large numbers of independent commodity machines into complete, functional systems to handle diverse workloads
  • Expertise performing data science research
  • Expertise writing world-class Python code
  • Experience coding in Go
  • 10+ years of professional data science or software engineering experience or a bit less but very relevant experience
Nice-to-have skills:
  • PhD in computer science, artificial intelligence, machine learning or related technical field
  • Advanced working knowledge of information retrieval and search technologies and have set up and used open-source search systems to query and understand data
  • Experience with many of the following technologies:
    • ElasticSearch, Solr and equivalent 
    • Kubernetes
    • Machine learning infrastructure
    • Deep learning
    • Relevance engineering
    • CircleCI, GitHub Actions, Jenkins or equivalent
    • Any graph database
Benefits:
  • Stock options
  • Paid vacation and sick leave
  • A strong remote work culture that includes group activities and local gatherings
Interview process:
  1. Vision and Opportunity Interview 
  2. Culture and Operations Interview 
  3. First Technical Interview w/ Technical Challenge (20-25 mins) 
  4. Second Technical Interview
  5. (Optional) Third Technical Interview
  6. Compensation discussion 
  7. (Optional) Meeting with Investor to Close
Unfortunately, no. The company is looking to hire a full-time employee.