A proactive attitude, strong problem-solving skills, and a commitment to continuous learning. Strong background in machine learning (ML) with practical……
Cultural Leadership: Demonstrated success in mentoring software engineers and driving a 'quality-first' culture through TDD, static analysis, and automated……
We are looking for an AI/ML Engineer who can be responsible for designing, building, and deploying agentic AI solutions, working closely with product and client……
1-2 years of experience in software development with exposure to AI/ML applications or data-driven systems. Hundreds of global innovators, from iconic consumer……
Enhance dash boarding capabilities to deliver fast and flexible experiences. In a single environment, teams design and operate analytics, machine learning, and……
Develop secure code to protect our customers and ourselves from malicious actors. We work in teams focused on specific products and projects, providing……
Participate in capability-building activities and knowledge-sharing sessions. Participate in code reviews and architectural discussions to improve code quality……
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……
Happl, our benefit platform which provides access to pre-negotiated discounts on a wide variety of services including entertainment, food, and fitness.…
Support playback sessions, technical reviews, and knowledge-transfer activities. Ability to work collaboratively with data scientists, engineers, and product……
Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js & Python, while also integrating machine learning……
Working closely with Product Management and product teams, you will integrate AI capabilities into our products, enabling AI-powered insights, automation, and……
Willingness to learn quickly and adapt to different project situations and tech stacks. You will design and build the scalable, reproducible data components……
Deploy, monitor and manage model serving endpoints, making technical decisions about serving configurations to meet performance requirements of downstream users……
An annual wellbeing allowance to use on things like (but not limited to) fitness memberships, development courses, childcare, travel, charitable donations, pet……
Cross-Functional Partnership: Collaborate with ML researchers, software developers, and product managers across Apple to translate product requirements into……
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our……
This role sits at the intersection of strong software engineering and deep AI expertise, with a focus on turning state-of-the-art AI capabilities into robust,……
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……
Ensure solutions comply with security, privacy, compliance and ethical AI requirements, including access controls, data protection and risk assessments.…
Solid understanding of machine learning concepts, algorithms, and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning,……
Build and scale infrastructure for training and deployment pipelines, model serving, and feature stores using tools like Metaflow and Kubernetes.…
Apply engineering practices that hold up in production: TDD, secrets management and rotation, SAST/DAST, structured logging, metrics, tracing, and automated CI/……
Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude. Builds engineering stack required for Data and AIML products,……
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