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NLG Engineer (Remote - US)

NLG Engineer (Remote - US)

JobgetherUS
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This position is posted by Jobgether on behalf of a partner company. We are currently looking for an NLG Engineer in the United States .

This role offers an exciting opportunity to shape the future of natural language generation (NLG) and AI-driven experiences for the automotive industry. The NLG Engineer will design, implement, and optimize algorithms and models that enable vehicles to communicate naturally with drivers and passengers. You will work with cutting-edge AI technologies, transforming complex data into human-like language outputs and enhancing voice assistant interactions. The role involves collaboration with global teams, contributing to innovative projects that redefine automotive experiences. Ideal candidates are passionate about AI, linguistics, and software engineering, and thrive in dynamic, fast-paced environments. Your work will directly impact millions of vehicles worldwide, making every ride more intuitive, safe, and engaging.

Accountabilities

  • Develop and optimize NLG models for conversational AI systems in automotive applications.
  • Translate complex data and contextual information into natural, coherent, and contextually appropriate language outputs.
  • Collaborate with cross-functional teams including data scientists, software engineers, and UX designers to integrate NLG solutions into product offerings.
  • Implement and maintain scalable software solutions for production environments.
  • Conduct testing, validation, and evaluation of NLG systems to ensure high-quality outputs.
  • Participate in innovation projects to advance the capabilities of AI-driven voice assistants.
  • Document models, processes, and algorithms to ensure maintainability and knowledge sharing across teams.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI, or related field.
  • Proven experience in NLG, NLP, or AI-based language technologies.
  • Strong programming skills in Python, Java, or C++, and experience with ML frameworks (e.g., TensorFlow, PyTorch).
  • Experience with data preprocessing, model training, and evaluation for natural language applications.
  • Solid understanding of linguistic structures, syntax, semantics, and context modeling.
  • Ability to collaborate effectively across distributed teams in a fast-paced environment.
  • Excellent problem-solving, communication, and analytical skills.
  • Preferred : experience in automotive AI, speech technologies, or conversational AI systems.
  • Benefits

  • Competitive compensation based on experience and skills.
  • Flexible work arrangements, including remote work options.
  • Comprehensive health, dental, and vision insurance.
  • Paid time off and holidays.
  • Professional development opportunities and training programs.
  • Inclusive and collaborative work environment with a focus on innovation.
  • Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

    When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

    🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

    📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.

    🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

    🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

    The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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