Job Title: Natural Language Processing (NLP) Engineer
Location: California, USA [Remote options available]
Job Type: Full-time
Salary: $190,000 base salary, including package up to $263,000 (performance bonus + project bonus + sign-on) excluding equity and stock options
Introduction:
Join our innovative client in California as an NLP Engineer and contribute to pioneering solutions that interpret human language using the latest advancements in AI. This role is critical in enhancing how machines understand and respond to human language in real-time applications.
Responsibilities:
- Develop and deploy NLP solutions using the latest technologies and frameworks.
- Work with diverse datasets to train and fine-tune machine learning models focused on language understanding.
- Collaborate with cross-functional teams to integrate NLP technologies into broader systems and products.
- Continuously test, optimize, and scale NLP applications to meet evolving product needs.
- Stay at the forefront of technology by researching new trends and advancements in NLP and AI.
Technology Stack:
- Programming Languages: Python, Scala
- NLP Libraries/Frameworks: Transformers, BERT, GPT, spaCy, Hugging Face
- Machine Learning Platforms: TensorFlow, PyTorch, Keras
- Data Management: SQL, NoSQL databases (e.g., MongoDB, Cassandra)
- APIs and Middleware: RESTful services, GraphQL
- DevOps Tools: Docker, Kubernetes, Jenkins
- Cloud Platforms: AWS, Azure, Google Cloud
- Version Control: Git, SVN
Compensation Package:
- Base Salary: $190,000 annually
- Performance Bonuses: Up to $38,000 annually based on performance, with additional bonuses for project completions ranging from $5,000 to $15,000.
- Equity and Stock Options: Competitive stock option package.
- Sign-On Bonus: Negotiable, typically between $10,000 to $20,000.
- Additional Benefits: Comprehensive healthcare, generous retirement plans, professional development budget, flexible working hours, relocation assistance, and generous paid time off.
Required Skills and Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Linguistics, or a related field.
- Extensive experience with modern NLP and machine learning libraries and frameworks.
- Strong programming expertise, especially in Python and experience with Scala.
- Proven track record of developing and scaling high-impact AI solutions.
- Excellent analytical and problem-solving abilities.
Desirable Skills:
- PhD in a relevant field with published work in NLP or AI.
- Experience with real-time data processing and analytics.
- Multilingual NLP application development experience.
