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The Company

Cellino is building a precision platform that personalizes human cells for all. Stem cell-derived regenerative medicines are poised to cure some of the toughest diseases within this decade, including Parkinson’s, diabetes, and heart disease. Patient-specific cells provide the safest, most effective cures for these indications. Currently, large scale production of stem cell therapies is challenging due to extensive manual handling, high variability, and expensive manufacturing costs. Cellino’s vision is to enable healthier lives worldwide with personalized human cells.

The Role

The ML Engineer will be a software developer working as part of Cellino’s Data and ML team to build the production-level AI capabilities for the Cellino Platform. You will work in an interdisciplinary team of data scientists, software engineers, biologists, and automation engineers to build data and decision pipelines that process petabytes of data from various microscopic and biological assay modalities generated by our cell manufacturing platform.

Responsibilities

• Design, develop, and maintain AI and computer vision algorithm pipelines to replace human decision points with automated decision policies.
• Design, develop, and maintain model training, evaluation, monitoring, dataset generation, annotation, and management infrastructure
• Adopt a test-driven approach to produce a high-quality and efficient codebase, perform code reviews with other team members
• Prepare architecture diagrams and presentations to document development milestones for a hybrid and multidisciplinary team
• Work closely with scientists to design large-scale experiments to mature and productionize ML capabilities
• Follow the ML and computer vision literature and implement state-of-the-art algorithms to build microscopic image and biological assay data analysis and understanding capabilities

Requirements

• BS in computer science or equivalent
• Strong analytical and problem-solving skills, hands-on model development, and deployment experience
• 3+ years of post-graduation experience delivering AI/ML frameworks for a product
• Expertise in working with ML and vision frameworks such as PyTorch, Tensorflow, scikit-learn, opencv
• Excellent programming skills in Python and object-oriented paradigm
• Agile software development experience (comfortable with development management tools such as Jira, Rally)
• Excellent written and verbal communication skills

Nice-to-Have Skills and Background

• MS/PhD in data science, computer vision, or equivalent
• Developing microscopy and other large image-processing algorithms
• Experience with DL architectures such as ViT/ResNet/GANs/Unet/CNNs
• Experience in building Reinforcement Learning frameworks
• Experience in cloud platforms such as GCP or AWS

Benefits

• Competitive salaries
• Stock options
• 401(k)
• Employer-paid medical, dental, vision, and life insurance
• Flexible work schedule with a minimum of 3-day in-office hybrid mode
• Generous paid time off and sick leave + 12 company holidays
• Parental leave

It is the policy of Cellino Biotech, Inc. to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race, religion, creed, color, national origin, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, pregnancy, marital status, age, sexual orientation, and military or veteran status, or any other basis protected by law. It also prohibits unlawful discrimination and harassment based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.

Cellino does not accept unsolicited resumes from any source other than directly from potential candidates. Any resumes submitted by a staffing agency in the absence of a current executed contract will automatically become Cellino's property and no recruiting fees or other obligations will be owed in the event of a potential hiring.