Machine Learning Engineer

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

SAS is focused on being the World’s Best Foundry product supplier.

Role and Responsibilities

• Our company creates some of the world’s most high-tech semiconductor manufacturing line for CPUs, GPUs, and IoT sensors.
• We are currently in search of a Machine Learning developer to find and optimize signals from data from various resources, transform data, implement new features, and design machine learning models for business value.
• Specific Job Duties:
• Looking for a Machine Learning engineer with a passion for data, and enjoys being a part of a small high performing team developing and maintaining in-house models.
• What You’ll Do:
• Be a member of the Defect Engineering Systems group which provides data insights to the company,
• Continuously improves our time to detection of critical defects within our manufacturing line, with a focus on accuracy, and throughput.
• Aligning with expert module owners on how to classify defects, modeling proposals, summarizing results.
• Finding solutions for improving the status quo using feature engineering, improved modeling.
• What You Will Need:
• Experience building and extending machine learning models (image classification, object detection).
• Experience with open source frameworks (Tensorflow, PyTorch).
• Comfortable working with command line interfaces (Ubuntu experience a plus).
• Ability to summarize results to a broad range of audiences.
• Ability to learn quickly and keep deadlines while applying good design principals.
• What Will Make You Stand Out:
• Previous experience with CNNs, object detection networks.
• Experience processing grayscale SEM images (semiconductor / biomedical domains).
• Semiconductor process knowledge (specifically defect domain knowledge: detection, classification, quantifying yield impact).
• Knowledge of container software (Docker / Kubernetes), familiar with Jupyter Hub + Jetbrains IDEs.
• Why You’ll Enjoy Working Here:
• Working with a small highly motivated team to develop and implement new ideas.
• Bonus programs.
• Great Benefits (employer matched 401k, medical, dental, PTO).
• Amenities (soccer field, 2 gyms, full court basketball / tennis courts, Frisbee golf, walking trails).
• Height Adjustable Standing Desk.
• Subsidized lunches.
• Work days and hours: 1st-shift/ M-F, 8am to 5pm

Skills and Qualifications

• B.S or M.S Engineering Degree.
• 2-5 years of Data Science experience (school or work experience).
• Proficient with Python, SQL, and data manipulation is required.
• Image processing fundamentals, how to optimize for signal to noise, image analysis.
• Fundamental understanding of statistical techniques.
• Excellent communication, interpersonal, initiation, & troubleshooting skills.
• Fast learner with the ability to develop and create scalable systems.

Samsung Artificial Intelligence Centre (SAIC) – Cambridge, UK
https://research.samsung.com/aicenter_cambridge
Samsung AI Cambridge (SAIC) is a newly-established, ambitious independent research centre targeting Human-Centric AI to enrich peoples’ lives using AI technologies.
To help power Samsung Corporate programmes in AI, SAIC in Cambridge is building teams with diverse skills in research, engineering and design. It collaborates closely with universities to meet the research ambitions of both the universities and of Samsung.
Samsung AI Centre Cambridge (SAIC-C) are seeking an exceptional AI researcher to join their growing machine learning and data intelligence programme. This is a unique chance to join a world-class team in developing the next generation of underpinning AI algorithms that could underpin products to benefit millions of users around the world.

Role and Responsibilities

Purpose of the Role:

The machine learning & data intelligence (MLDI) team at SAIC is developing cutting-edge data-efficient and compute-efficient machine learning algorithms that will underpin scalable growth of future AI-based products. The individual will work within a cross-disciplinary research centre, collaborating with researchers and engineers in machine learning, logic, computer vision, speech processing, dialogue, and AI systems. This particular role targets developing SAIC-C’s neuro-symbolic machine learning research agenda.

Successful applicants must be able to demonstrate world-class AI research experience in underpinning logic, machine learning, and at least interest and aptitude for developing neuro-symbolic hybrids. Applicants should have a PhD in AI or associated application. Professional programming experience will be a plus.

Skills and Qualifications

Key Responsibilities:

Carrying out ground-breaking research in the area of neuro-symbolic learning, combining logical and statistical learning and reasoning. Contributing to the technical definition of research goals at a project and program level. Promotion of the research group through premier academic publications, and by giving invited talks. Maintaining collaborations with academic researchers and business units. Developing novel machine learning technologies, applying (with expert collaborators) them to solve relevant business problems such as vision, speech, and knowledge base processing, and facilitating transfer to Samsung business units.

Key Skills Required:

• PhD in CS/EE/AI, or associated application area.
• World-class academic research experience in sub-symbolic machine learning or logic, and experience or aptitude for development of neuro-symbolic hybrids.
• Exceptional track record of research in AI. Key demonstrations being publications in top tier venues such as NeurIPS, ICLR, AAAI, IJCAI.
• Excellent programming skills in languages and frameworks such as Python, Pytorch, Tensorflow.
• Excellent communication skills and tangible examples of leadership. For example, track record of invited talks, participation in by-invitation programme committees.
• Excellent communication, teamwork, and results-oriented attitude.

Desirable Skills:

• Professional programming experience.
• Experience in conducting research on high-performance multi-GPU hardware.
• Experience in one or more of SAIC-C application areas (speech processing, computer vision, text processing, knowledge graphs, dialogue).

Competitive salary and benefits package