Machine Learning Engineer

Redwood Grove Corp.; San Diego (CA); On-site; USD 110,000 - 143,000; Full time

Benefits offered by this job

Health insurance

401(k) with employer match

Professional development

Job summary

Redwood Grove Corp. in San Diego, CA is seeking a Machine Learning Engineer to develop and deploy ML models for biotechnology research.

You will preprocess data, train models, evaluate results, and collaborate with a diverse team in a modern office that values balance and professional growth. Applicants should hold a CS/Statistics/Math degree, have 2+ years in ML/data science, and be proficient in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Qualifications

• 2+ years of ML/data science experience.
• Proficiency in Python and R.
• Strong problem-solving and analytical skills.

Responsibilities

• Develop and implement machine learning models for biotech data.
• Collaborate with cross-functional teams on ML challenges.
• Design and optimize ML algorithms for performance and accuracy.
• Stay updated with latest ML and data science advancements.
• Document and communicate ML solutions to stakeholders.
• Participate in code reviews to improve quality.
• Work on ML applications in drug discovery and development.
• Assist in deploying ML models to production environments.

Skills

ML/Data Science experience

Python & R

Problem-solving

Analytical skills

Education

Bachelor's degree in CS/Statistics/Math

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Redwood Grove Corp. is seeking a Machine Learning Engineer in San Diego, CA for a FULL_TIME position. The role offers a salary range of $110,000 to $143,133 per year. The application deadline is November 23, 2026.

As a Machine Learning Engineer, you will develop and implement machine learning models to solve complex problems in biotechnology research. Your tasks will include data preprocessing, model training, evaluation, and deployment.

You will collaborate with a diverse team of biotechnology researchers and machine learning engineers in San Diego, CA, where the workplace thrives in a dynamic and innovative environment. This city, known for its mild climate and beautiful beaches, is also a hub for cutting-edge technology and biotech companies. The team will work in a modern office space equipped with state-of-the-art technology, fostering an atmosphere of creativity and continuous learning. The workplace encourages open communication and collaboration, with regular team meetings and workshops to share ideas and insights. The environment is supportive and inclusive, with a strong emphasis on work-life balance and professional development.

The annual salary range for this position is between $110,000 and $143,133, providing a competitive compensation package. Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans, ensuring they and their families have access to quality healthcare services. Additionally, the company offers robust retirement plans, such as a 401(k) with a generous employer match, to help employees save and plan for their future. Professional development opportunities are also available, allowing employees to enhance their skills and advance their careers within the organization.

You must have a degree in Computer Science, Data Science, or a related field. Experience with machine learning frameworks such as TensorFlow or PyTorch is required. Knowledge of Python programming is essential.

Responsibilities

• Develop and implement machine learning models to analyze and interpret complex biological data.
• Collaborate with cross-functional teams to identify and solve machine learning challenges.
• Design and optimize machine learning algorithms to improve model performance and accuracy.
• Conduct research to stay updated with the latest advancements in machine learning and data science.
• Document and communicate machine learning solutions to stakeholders and team members.
• Participate in code reviews and provide constructive feedback to improve code quality.
• Work on projects that involve the application of machine learning in drug discovery and development.
• Assist in the deployment of machine learning models into production environments.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 2+ years of experience in machine learning and data science.
• Proficiency in programming languages such as Python and R.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Strong understanding of statistical concepts and techniques.
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms such as AWS or Google Cloud is a plus.
• Excellent problem-solving and analytical skills.