NLP Software Engineer - Build Scalable AI APIs

Roberts Recruiting, LLC; Cambridge (MA); On-site; USD 85,000 - 115,000; Full time

Job summary

A technology recruiting firm located in Cambridge is seeking a talented individual with expertise in Natural Language Processing. The successful candidate will implement and enhance software solutions in Java, Python, and Scala, working in a collaborative Agile team. Candidates should possess a Bachelor's degree in a relevant field, proficiency in coding, and strong communication skills. This role offers an innovative work atmosphere and the chance to impact mission-critical applications.

Qualifications

• Proficiency in object oriented programming in Java or Scala; scripting in Python or Bash.
• Exposure or coursework in machine learning, natural language processing, or linguistics.
• Strong grasp of CS fundamentals, algorithms, data structures, and design patterns.

Responsibilities

• Implement production‑quality Java, Python, and Scala code.
• Translate NLP research ideas into maintainable, scalable software.
• Collaborate with an Agile team to develop new ideas into products.
• Design, build, and evaluate statistical models for NLP.

Skills

Object oriented programming in Java

Scripting in Python

Communication skills

Education

Bachelor’s degree in computer science, electrical engineering, or statistics

Job description

Are you passionate about Natural Language Processing (NLP)? Do you want your code to be core to a wide variety of mission-critical applications around the world and an innovative SAAS API? Do you want to be part of a team with high standards and a great atmosphere? We'd love to hear from you!

Responsibilities

• Implement production-quality Java, Python and Scala code
• Translate NLP research ideas into maintainable, scalable software
• Collaborate with an Agile team both to research new ideas and to develop them into products
• Design, build and evaluate statistical models and rule-based algorithms for NLP

Qualifications

• Bachelor’s degree in a relevant subject area (e.g., computer science, electrical engineering, statistics)
• Proficiency in object oriented programming in Java or Scala; scripting in Python or Bash
• Exposure or coursework in machine learning, natural language processing or linguistics
• Strong grasp of CS fundamentals, algorithms, data structures, and design patterns
• Recommendation from a previous employer, internship supervisor, or a professor
• Great communication and interpersonal skills