A proactive attitude, strong problem-solving skills, and a commitment to continuous learning. Strong background in machine learning (ML) with practical……
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Travel and office budgets for team off-sites or kitting out your home setup. Curious about AI product development, prompt engineering, and LLM applications.…
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses……
Mentorship from experienced software and machine learning engineers, including direct access to the founders. Partner with the technical team to ideate, develop……
Minimum 2 years experience in one or more scripting languages (e.g., Bash, Python, or a similar language). Minimum 3 years experience with cloud environments……
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For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses……
Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field.…
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For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses……
We are looking for a dual-qualified UK and European Patent Attorney with experience in hi-tech subject matter to join our friendly and highly regarded IT &……
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses……
Meta SAM 3 (Segment Anything Model 3) or SAM 2 for advanced promptable object masking and real-time tracking. Partner with backend, frontend, and product teams……
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For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses……
You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-……
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Insilico Medicine is seeking a Machine Learning Engineer to develop, support and improve predictive models and retrosynthesis in Chemistry & Biology. The candidate will be writing production-level Python code, run ML-related experiments, integrate new functionalities, work with foundation models. The candidate will also provide technical support to the DevOps team in running the ML infrastructure and perform intrateam MLOps.
Reports to
Team Lead in Cheminformatics
Responsibilities:
Develop and maintain the internal machine learning (ML) pipeline at the production level to support cutting-edge drug discovery initiatives.
Optimize, refactor, and debug existing code in Python to enhance performance, scalability, and efficiency.
Deploy ML models into the platform for real-world applications in chemistry and biology.
Implement and fine-tune ML-dedicated algorithms in Python, ensuring high accuracy and robustness.
Collaborate on MLOps practices to ensure seamless model integration, deployment, and continuous improvement.
General Requirements:
I. Education
Bachelor’s degree/Master’s degree/PhD degree in a Machine Learning related field.
II. Experience and Skills
Strong background in machine learning (ML) with practical application experience.
4+ years of experience in Python production-level development.
Proficiency with coding standards such as PEP8, Google style guide, or similar best practices.
Experience with NoSQL databases, such as MongoDB.
Experience working with Linux or other Unix-based operating systems.
Proficiency in version control systems like Git.
Hands-on experience with Python numerical and machine learning libraries such as Numpy, Pandas, PyTorch, and Scikit-learn.
Solid understanding of object-oriented programming (OOP), design patterns, and software architecture best practices.
A proactive attitude, strong problem-solving skills, and a commitment to continuous learning.
III. Preferred Skills
Experience with deep learning (DL) frameworks and techniques.
Familiarity with RDKit for cheminformatics and Plotly for data visualization.
Hands-on experience with a range of ML/DL methods such as Transformers, RNNs, CNNs, GNNs, and GradientBoosting.
Expertise in feature engineering and optimization techniques.
Knowledge of cheminformatics and the drug discovery process.
Ability to quickly learn and adapt to new libraries, tools, and emerging ML technologies.
Experience in programming with C++ is an advantage