Posted a month ago

Job summary

• Job post source

  This job is from a recruiting firm hiring for a separate company.

• Job overview

  The Machine Learning Scientist role involves developing advanced machine learning methods to enhance a biotech platform focused on understanding human cells and disease.

• Responsibilities and impact

  The candidate will innovate new ML approaches, curate diverse data, build synthetic data tools, optimize platform performance, explore latent data representations, develop testing protocols, and train models for real-world applications.

• Experience and skills

  The role requires an advanced degree in a relevant field, strong Python programming skills, experience with ML libraries like PyTorch or TensorFlow, deep knowledge of large-scale neural networks, and a collaborative problem-solving mindset.

• Company information

  The company is a cutting-edge biotech firm leveraging LLMs and deep learning to study human cells and combat diseases.

Company overview

Precision Point Staffing ™ is a staffing and recruiting company based in California, specifically serving areas such as San Francisco, Santa Ana, Irvine, Long Beach, Emeryville, North Hollywood, and Los Angeles. The company operates with a small team of 2-10 employees and specializes in managing full-cycle recruiting processes. They cater to various industries, including biotech and technology, offering both temporary and contract-to-permanent staffing solutions. Precision Point Staffing ™ is known for its tailored approach to talent acquisition, helping businesses find the right candidates for their specific needs.

How to land this job

• Tailor your resume to emphasize your expertise in machine learning, particularly with large language models and deep learning frameworks such as PyTorch or TensorFlow, showcasing your ability to innovate and optimize model performance.

• Highlight your experience in data curation, synthetic data generation, and building simulation pipelines, as these are key responsibilities for driving the biotech platform's capabilities.

• Apply through multiple channels including Precision Point Staffing ™'s corporate website and LinkedIn to maximize your application visibility and reach.

• Connect with current employees or recruiters in the machine learning or biotech divisions at Precision Point Staffing ™ on LinkedIn, using ice breakers like commenting on recent advancements in AI for biotech or asking about the team’s approach to model benchmarking and reliability.

• Optimize your resume for ATS by incorporating keywords from the job description such as 'machine learning,' 'large language models,' 'synthetic data generation,' 'PyTorch,' and 'model benchmarking' to ensure it passes automated screenings.

• Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify multiple application portals, and find relevant LinkedIn contacts, allowing you to focus your energy on preparing for interviews and enhancing your skills.