Lead AI Engineer

The Lead AI Engineer will be responsible for defining and driving the AI strategy, managing AI projects, and leading a team of engineers to deliver advanced AI solutions. This role combines deep technical expertise with leadership skills to guide the development of AI models and applications that address complex challenges and support our strategic objectives.

• AI Strategy:
  Develop and execute AI strategies that align with company goals and drive innovation in space technology.
• Team Leadership:
  Lead a team of AI engineers and data scientists, providing technical guidance, mentorship, and support to ensure successful project execution.
• Model Development:
  Design, develop, and deploy advanced AI models and algorithms, including machine learning, deep learning, and natural language processing.
• Integration:
  Oversee the integration of AI solutions into existing systems and products, ensuring seamless functionality and performance.
• Collaboration:
  
  Work closely with product managers, engineers, and researchers to define requirements, gather data, and deliver AI-driven solutions.
• Research and Innovation:
  Stay current with AI research and industry trends, incorporating new techniques and technologies into projects to maintain a competitive edge.
• Performance Optimization:
  Monitor and optimize the performance of AI models, addressing any issues related to accuracy, scalability, or efficiency.
• Documentation:
  Maintain comprehensive documentation for AI models, algorithms, and processes, and provide regular updates on project progress and outcomes.

• Education:
  
  Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience:
  
  5+ years of experience in AI or machine learning roles, with a strong track record of leading AI projects and teams.
• Technical
  
  Skills:
  
  Proficiency in programming languages such as Python, R, or Java, and experience with AI frameworks and libraries (e.g., Tensor Flow, PyTorch).
• Model Development:
  Extensive experience in developing and deploying machine learning and deep learning models.
• Leadership:
  Proven ability to lead and mentor technical teams, with strong project management skills.
• Collaboration:
  
  Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams.
• Problem-Solving:
  Strong problem-solving skills, with the ability to tackle complex technical challenges and deliver innovative solutions.

• Experience:
  
  7+ years of experience in AI engineering or related roles, with a demonstrated ability to drive AI innovation and deliver impactful solutions.
• Advanced
  
  Skills:
  
  Expertise in advanced AI techniques, including reinforcement learning, generative models, and large-scale data processing.
• Cloud Platforms:
  Experience with cloud-based AI services and platforms (e.g., AWS Sage Maker, Google AI Platform, Azure Machine Learning).
• Certifications:
  
  Relevant certifications in AI or machine learning (e.g., Tensor Flow Developer Certificate, AWS Certified Machine Learning Specialty).
• Industry
  
  Experience:
  
  Experience in aerospace or technology sectors, particularly with applications related to space exploration or satellite systems.

• This position may include access to technology and / or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.

• Health Insurance:
  Comprehensive medical, dental, and vision coverage.
• Retirement Plans:
  Access to a 401(k) plan.
• Paid Time Off:
  Generous vacation days, personal days, and holidays to ensure you have time to recharge.
• Professional Development:
  Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.
• Team Building
  
  Activities:
  
  Regular social events, team outings, and company-sponsored activities to foster a positive work…