Staff Engineer – AI Productivity (Remote)
About the Role
Hightouch is hiring a full-time Staff Engineer – AI Productivity to join our innovative team working remotely from the United States. As a Staff Engineer in AI Productivity, you will play a crucial role in enhancing our AI-driven products and services. This position offers a unique opportunity to work on cutting-edge technology that is shaping the future of AI productivity solutions.
What You'll Do
- Lead the design and development of AI productivity tools that enhance user experience and operational efficiency.
- Collaborate with cross-functional teams to integrate AI capabilities into existing products.
- Utilize machine learning algorithms to improve product features and functionalities.
- Mentor junior engineers and provide guidance on best practices in AI development.
- Conduct research on emerging AI technologies and implement innovative solutions.
Requirements
- 5+ years of experience as a Staff Engineer or similar role, with a focus on AI and machine learning.
- Strong proficiency in programming languages such as Python, Java, or C++.
- Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
- Proven track record of leading successful AI projects from concept to deployment.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
Nice to Have
- Experience in cloud computing platforms (AWS, Azure, Google Cloud).
- Familiarity with data engineering and data science principles.
- Knowledge of software development methodologies such as Agile or Scrum.
What We Offer
- Competitive salary ranging from $180,000 to $320,000 based on experience.
- Fully remote work environment with flexible hours.
- Comprehensive health benefits and wellness programs.
- Generous paid time off and holiday policy.
- Opportunities for professional development and continuous learning.
This Staff Engineer role at Hightouch offers a unique opportunity to lead AI productivity projects in a fully remote environment with a competitive salary.
Who Will Succeed Here
Proficient in building scalable AI models using TensorFlow and PyTorch, with a strong understanding of machine learning algorithms and their application in productivity tools.
Self-motivated and disciplined to thrive in a remote work environment, with a proven track record of managing projects independently while collaborating effectively with distributed teams.
Experienced in cloud infrastructure, particularly with AWS, Azure, and Google Cloud, enabling seamless deployment and integration of AI solutions into existing systems.
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