Machine Learning Engineer in Austin + Drive Intelligent Solutions

Join a fast‑growing tech leader where cutting‑edge AI projects meet a collaborative culture. You will shape products that impact millions while accelerating your professional growth.

About the Role

We are seeking a talented Machine Learning Engineer to design, develop, and deploy scalable ML models that power our next‑generation applications. You will collaborate with product managers, data scientists, and software engineers to translate business challenges into intelligent solutions. This position offers the chance to work on large‑scale data pipelines, experiment with advanced algorithms, and see your work shipped to real users.

Key Responsibilities

• Develop and optimize supervised, unsupervised, and reinforcement learning models.
• Deploy models into production using containerization and cloud services.
• Conduct rigorous experimentation and performance evaluation.
• Collaborate with cross‑functional teams to define project requirements.
• Maintain model documentation and ensure reproducibility.

Requirements

Candidates must hold a Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. Advanced degrees are a plus. You should have at least three years of professional experience building ML systems, proficiency in Python and TensorFlow or PyTorch, and strong fundamentals in statistics and linear algebra. Experience with cloud platforms such as AWS or Azure, and familiarity with CI/CD pipelines, are highly valued.

Benefits

Our comprehensive benefits package includes competitive compensation, health, dental, and vision insurance, 401(k) matching, generous paid time off, and continuous learning allowances. Employees enjoy flexible work arrangements, on‑site fitness facilities, and regular tech talks. We also provide stock options and a supportive environment that encourages innovation and work‑life balance.

Compensation

Salary Range: $115,000 – $150,000 USD/year, based on experience and market standards.

Why Join Us

Joining our team means becoming part of a community that values curiosity, collaboration, and impact. You will work on products that shape the future of AI, receive mentorship from industry experts, and contribute to a culture that celebrates diverse perspectives. If you are passionate about turning data into insight and want to make a tangible difference, this is the place to grow.

How to Contribute

If you are ready to leverage your expertise in machine learning to solve complex problems and drive innovation, we invite you to submit your resume and a brief cover letter outlining your most relevant projects. Our recruitment team will review applications and reach out to qualified candidates for further discussion.