Job Description
Join the Visionaries of 2026
Are you ready to architect the artificial intelligence infrastructure that will define the year 2026? Horizon Tech Solutions is looking for a visionary Principal Machine Learning Engineer to spearhead our next-generation deep learning initiatives. We are not just building models; we are building the future.
In this high-impact role, you will lead a team of elite engineers in developing scalable, robust AI systems designed to solve complex global challenges. If you are passionate about the intersection of data science and real-world application, we want to hear from you.
Why Join Us?
- Work on cutting-edge technology that prepares us for the 2026 landscape.
- Competitive compensation and equity package.
- Flexible remote-first culture with hubs in Austin, TX.
Responsibilities
- Design, develop, and deploy state-of-the-art machine learning models and deep neural networks.
- Lead the end-to-end machine learning lifecycle, from data ingestion and feature engineering to model training and productionization.
- Collaborate with cross-functional teams to integrate AI solutions into core product offerings.
- Drive innovation in algorithmic efficiency and scalability to meet 2026 computational demands.
- Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
- Conduct rigorous A/B testing and performance analysis to optimize model accuracy and business impact.
Qualifications
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related field (or equivalent practical experience).
- 7+ years of professional experience in machine learning, deep learning, or artificial intelligence.
- Expert proficiency in Python, PyTorch, TensorFlow, or Scikit-learn.
- Strong experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes) and cloud platforms (AWS, GCP, or Azure).
- Deep understanding of natural language processing (NLP) or computer vision is highly preferred.
- Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
- Proven track record of publishing research or shipping high-impact production models.