Senior Machine Learning Engineer
Posted on January 21, 2026 (about 4 hours ago)
Senior Machine Learning Engineer
Autonomize AI is on a mission to help organizations make sense of the worlds data. We help organizations harness the full potential of data to unlock business outcomes. Unstructured dark data contains nuggets of information that, when paired with human context, unlocks impactful insights for organizations. Our goal is to make that process effortless and accessible.
We are an ambitious, global team committed to human-machine collaboration. Our founders are serial entrepreneurs passionate about data and AI who have built and scaled companies to successful exits. We focus on building data products, exceptional human experiences, and scalable AI solutions.
The Opportunity
As a Senior Machine Learning Engineer at Autonomize, you will lead development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP models. You will play a significant role in advancing our AI-driven healthcare-optimized copilots and agents.
What You’ll Do
- Fine-tune or prompt engineer large language models (LLMs) for healthcare applications across customer engagements.
- Develop and refine approaches for vision-based data using state-of-the-art VLM models to process and analyze medical documents and healthcare forms.
- Create and enhance classic NLP models to support clinical documentation and patient interaction.
- Collaborate with multidisciplinary teams including data scientists, ML engineers, healthcare clients, and product managers.
- Deploy and integrate models into healthcare systems, ensuring performance and scalability.
- Mentor and guide junior engineers and data scientists, fostering continuous learning and innovation.
- Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.
- Implement distributed training on GPUs and TPUs and optimize training techniques.
- Stay informed on the latest research, tools, and technologies in language and vision processing for healthcare.
- Document methodologies, model architectures, and project outcomes for technical and non-technical audiences.
You’re a Fit If You Have
- Bachelors or Masters degree in Computer Science, Engineering, Data Science, or a related field.
- 528 years of machine learning engineering experience, with a strong record of developing production-grade models and pipelines in regulated industries such as healthcare.
- Hands-on expertise with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.
- Proficiency in Python and ML libraries/frameworks such as TensorFlow, PyTorch, and OpenCV.
- Strong understanding of deep learning techniques, model fine-tuning, hyperparameter optimization, and model optimization.
- Proven experience deploying and managing ML models in production.
- Excellent analytical and strategic problem-solving skills.
- Strong communication skills for articulating complex concepts to diverse audiences.
- Working knowledge of MLOps and LLMOps tools like MLflow and Kubeflow.
- Working knowledge of software engineering principles and best practices.
Bonus Points:
- Owner mentality and accountability.
- Curiosity and a preference for experimentation to solve problems.
- Passion and commitment to the team and mission.
- A love of learning and collaborating to win together.
- Excellent communication across voice, writing, chat, and video in remote/global teams.
- Experience deploying NLP/ML at scale in large or complex organizations.
- Experience with efficiently scaling ML training and inference.
- Experience with Big Data technologies such as Kafka, Spark, Hadoop, and Snowflake.
What we offer:
- Influence & impact: lead and shape the future of healthcare AI implementations.
- Outsized opportunity: join the ground floor of a rapidly scaling, VC-backed startup.
- Ownership, autonomy & mastery: full-stack ownership of customer programs with freedom to innovate.
- Learning & growth: exposure to founders, customers, and new technologies, plus a professional development budget.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.
How to Apply
To apply for this role, please visit the job page and click the "Apply for this job" button.
Application Process
After submitting your application, the hiring team will review submissions and contact qualified candidates for next steps.