Machine Learning Scientist

🕒 May 29

🏄 California – Remote

🏄 California – Remote

💵 $134.2k - $181.5k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🧬 Biotechnology

💊 Pharmaceuticals

🔬 Science

💰 $28.5G Post-IPO Debt on 2022-12

Biotechnology • Pharmaceuticals • Science

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• Work with a cross functional team of scientists and engineers building foundational models that are used, tested, and trained on real world applications of generative design to the development of therapeutic biomolecules. • Develop and implement groundbreaking machine learning and protein science solutions. • Collaborate with computational and experimental scientists to establish these tools as a foundation of the discovery pipeline. • Work towards individual ownership and a leadership role in determining model architectures and research program needs. • Engage with open source and academic collaborations in the machine learning field.

🎯 Requirements

• Doctorate degree OR Master’s degree and 2 years of machine learning experience OR Bachelor’s degree and 4 years of machine learning experience OR Associate’s degree and 8 years of machine learning experience • PhD in in Computational Sciences, Computational Biology, Applied Math, Statistics or related quantitative field. • Strong track record of research accomplishments including three or more scientific publications or conference presentations in machine learning • Experience specifically with model training and diffusion model architecture, demonstrated by scientific publication or conference presentations. • Experience with UNIX/Linux, Python, PyTorch, Git, and cloud computing platforms • Experience working with biological data, and in applying machine learning to computational biology • Strong communication and technical leadership skills with an enthusiasm for working in an interdisciplinary team environment.

🏖️ Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • group medical, dental and vision coverage • life and disability insurance • flexible spending accounts • A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible.