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Machine Learning Engineer Biotech Jobs in Delaware

Athena LLC

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep ...

Tata Consultancy Service Limited

GenAI Engineer

Wilmington, DE · On-site

$100K - $110K/yr

Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow, PyTorch • GenAI Tools: LangChain, LlamaIndex • Vector DB: Pinecone, FAISS • Cloud Technologies:

Sallie Mae

Senior Manager, Statistical Modeling

Newark, DE · On-site

$85K - $104K/yr

Oversee the full model development and machine learning lifecycle: data collection, preprocessing, feature engineering, model development, deployment, and monitoring. * Collaborate with cross ...

Iff

AI Engineer, Industrial

Wilmington, DE · On-site +1

$67K - $91K/yr

Experience developing end-to-end AI or machine learning applications, not only exploratory ... Familiarity with software engineering practices such as version control, testing, application ...

JP Morgan Chase

Lead Software Engineer

Wilmington, DE · On-site

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral ... Design and implement enterprise-grade Machine Learning platforms capable of deploying and running ...

J.P. Morgan

Lead Software Engineer

Wilmington, DE

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral ... Design and implement enterprise-grade Machine Learning platforms capable of deploying and running ...

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Machine Learning Engineer Biotech information

What does a Machine Learning Engineer do in the biotech industry?

A Machine Learning Engineer in biotech applies advanced algorithms and data analysis techniques to solve biological and medical problems. They work with large datasets such as genomic sequences, medical images, or clinical records to develop predictive models, automate data analysis, and uncover insights that can accelerate drug discovery, diagnostics, and personalized medicine. Their work often involves close collaboration with biologists, data scientists, and software engineers to create tools and solutions that improve healthcare outcomes. Machine Learning Engineers in this field need a strong background in both computational methods and biological sciences.

How do Machine Learning Engineers in biotech typically collaborate with research scientists and domain experts?

Machine Learning Engineers in biotech often work closely with research scientists and domain experts to translate complex biological problems into data-driven solutions. This collaboration involves regular meetings to understand experimental data, refine project goals, and iterate on model development based on domain feedback. Engineers are expected to communicate technical concepts clearly, adapt models to fit scientific needs, and help validate results alongside laboratory teams. This interdisciplinary environment fosters innovation but also requires flexibility and strong communication skills.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer in Biotech, and why are they important?

To thrive as a Machine Learning Engineer in Biotech, you need a solid background in computer science, statistics, and biology, often with an advanced degree in a related field. Experience with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and familiarity with bioinformatics tools are typically required. Strong problem-solving, communication, and interdisciplinary collaboration skills set standout candidates apart. These capabilities are crucial for developing effective models that drive scientific innovation and advance biotechnological research.

What is the difference between Machine Learning Engineer Biotech vs Data Scientist Biotech?

AspectMachine Learning Engineer BiotechData Scientist Biotech
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related; knowledge of ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, coding, deploying algorithms in biotech R&DAnalyzes biological data, interprets results, creates reports
Employer & Industry UsageBiotech firms, pharma companies, research labsBiotech companies, healthcare, research institutions

While both roles work with biological data, Machine Learning Engineers focus on developing and deploying ML algorithms, whereas Data Scientists analyze and interpret biological datasets to inform research and decision-making in biotech settings.

What are popular job titles related to Machine Learning Engineer Biotech jobs in Delaware? For Machine Learning Engineer Biotech jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Biotech jobs in Delaware look for? The top searched job categories for Machine Learning Engineer Biotech jobs in Delaware are:
What cities in Delaware are hiring for Machine Learning Engineer Biotech jobs? Cities in Delaware with the most Machine Learning Engineer Biotech job openings:
Machine Learning Engineer Biotech jobs near you

AI Engineering Intern

Athena LLC

On-site, Remote

Full-time

Re-posted 3 days ago

Job description

At Athena, we empower possibility through transformative delegation. Our mission is to build the world's premier delegation platform, combining the strengths of exceptional Executive Assistants with advanced AI technologies to save our clients millions of hours each year.
Role Overview
The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to improve task delegation workflows, instruction generation, and automate agentic processes. This role will also contribute to building and improving AI agentic systems that can reason through tasks, use tools, and support more reliable task execution across Athena workflows. You will play a crucial role in prototyping, developing, and deploying cutting-edge AI features that directly impact client productivity and efficiency.
Responsibilities
  • Assist in developing and fine-tuning large language models (LLMs) to better understand and generate instructions for complex tasks. You'll experiment with model parameters and training data to improve performance.
  • Build and integrate AI-driven features that improve task delegation workflows - for example, creating intelligent agents that break down client requests into actionable steps for our team.
  • Collaborate with senior AI engineers to prototype systems that use AI for agentic workflows, enabling the platform to automatically handle or delegate routine instructions.
  • Support the development of AI agentic components such as task planning, tool use, memory, prompt workflows, and orchestration logic to help agents operate more effectively in real-world scenarios.
  • Evaluate model outputs for accuracy and usefulness. Develop tests and metrics to assess how well the AI-generated instructions or recommendations are performing in real-world scenarios.
  • Help build lightweight evaluation harnesses and experiments to test agent behavior, workflow reliability, and the quality of AI-generated task execution.
  • Work cross-functionally with product and software engineers to implement AI solutions into the Athena platform. Communicate technical findings and iterate on solutions based on user feedback.

Qualifications
  • Currently pursuing (or recently completed) a degree in Computer Science, Stats, or related field, with coursework in machine learning or artificial intelligence.
  • Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch). Comfortable with data structures, algorithms, and writing clean, efficient code.
  • Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep Learning). Familiarity with concepts of training, fine-tuning, and evaluating models.
  • Knowledge of natural language processing techniques. Understanding how large language models work and experience using or implementing NLP models.
  • Interest in AI agentic systems, including areas such as prompt design, tool use, workflow orchestration, multi-step reasoning, or evaluation of LLM-based systems.
  • Ability to break down complex problems and experiment with creative AI solutions. Eagerness to learn new technologies and frameworks quickly.

Preferred Qualifications
  • Previous projects or internship experience involving machine learning or AI (especially work with LLMs or NLP projects).
  • Experience with ML ops or model deployment (e.g. using cloud AI services, Docker, REST APIs for model serving).
  • Familiarity with concepts like reinforcement learning, prompt engineering for LLMs, or building multi-agent systems.
  • Experience with data preprocessing pipelines, and working with datasets relevant to language models or automation tasks.
  • Exposure to agent evaluation, prompt pipelines, orchestration frameworks, or AI systems that interact with external tools or APIs is a plus.
  • Awareness of the latest trends and research in AI/ML (new model architectures, papers, etc.), showing a passion for staying up-to-date in the field.

Benefits
  • You will be mentored by Athena's AI and software engineering experts. They will provide guidance, code reviews, and support as you work on challenging AI projects, ensuring you learn best practices in the field.
  • Expect to engage with cutting-edge AI technology. You'll contribute to pioneering projects (like improving AI-driven delegation) that could become core Athena offerings, giving you tangible achievements to highlight in your career.
  • Be part of a collaborative, forward-thinking team. Interns at Athena are included in all aspects of company life - from daily stand-ups to social outings - receiving the same respect and perks as full-timers.
  • This internship will enhance your practical AI skills and professional network. You'll leave with a deeper understanding of how AI can automate and improve real-world processes, and you may earn opportunities for future employment at Athena.com based on your performance.

Apply