Machine Learning Engineer at Output Biosciences

New York, New York, United States

$110,000 – $250,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine Learning, Biotechnology, Data & AnalyticsIndustries

Skills

Key technologies and capabilities for this role

PythonPyTorchTensorFlowJAXTransformersDiffusion ModelsAutoencodersMachine LearningDeep LearningData PipelinesAWSData HandlingModel EvaluationVersion ControlSoftware Development

Questions & Answers

Common questions about this position

What is the salary range for the Machine Learning Engineer position?

The salary range is $110K - $250K.

Is this Machine Learning Engineer role remote?

Yes, the position is fully remote.

What skills are required for the Machine Learning Engineer role?

Required skills include proficiency in Python, expertise in at least one deep learning framework like PyTorch, TensorFlow, or JAX, experience with generative architectures such as transformers and diffusion models, and skills in handling large-scale datasets and AWS.

What is the company culture like at Output Biosciences?

The culture values a proactive approach to problem-solving, taking ownership of challenges, a mature mindset in ambiguous situations, and excellent communication skills.

What makes a strong candidate for this Machine Learning Engineer position?

Strong candidates have a Bachelor’s in Computer Science or related field, 3+ years of ML experience, expertise in Python and deep learning frameworks, experience with large-scale data and AWS, plus proactive problem-solving and communication skills.

Output Biosciences

Develops preventative therapies for chronic diseases

About Output Biosciences

Output Biosciences focuses on developing preventative therapies aimed at extending human healthspan by addressing chronic diseases such as diabetes and heart disease. The company combines biotechnology with artificial intelligence to create therapies that can be discovered and manufactured more quickly and safely than traditional methods. This allows them to bring new treatments to market in just a few months, which is much faster than the usual drug development process. Their main clients include healthcare providers, pharmaceutical companies, and research institutions seeking effective solutions for chronic disease management. Output Biosciences differentiates itself by leveraging computational biology to streamline therapy development and commercialization, generating revenue through partnerships and licensing. The goal of Output Biosciences is to fundamentally change healthcare by preventing chronic diseases before they occur.

New York City, New YorkHeadquarters

2020Year Founded

$125KTotal Funding

PRE_SEEDCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

1-10Employees

Risks

Increased competition from AI-driven biotech startups threatens market share.

Regulatory scrutiny on AI applications may delay approval processes.

Rapid technological advancements may render current methods obsolete without continuous innovation.

Differentiation

Output Biosciences integrates AI and computational biology for rapid therapy development.

The company focuses on preventative therapeutics to extend human healthspan.

Output Biosciences accelerates drug development timelines, bringing therapies to market in months.

Upsides

Growing interest in AI-driven drug discovery boosts investment and partnerships.

Rise of personalized medicine creates opportunities for tailored AI-integrated therapies.

FDA's acceptance of AI-driven drug development enables faster regulatory pathways.

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