Senior Engineer for AI/Machine Learning

San Diego CA Offices, USA

ASML

ASML gives the world's leading chipmakers the power to mass produce patterns on silicon, helping to make computer chips smaller, faster and greener.

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Introduction to the role

ASML US brings together the most creative minds in science and technology to develop lithography machines that are key to producing faster, cheaper, more energy-efficient microchips. We design, develop, integrate, market and service these advanced machines, which enable our customers - the world’s leading chipmakers - to reduce the size and increase the functionality of their microchips, which in turn leads to smaller, more powerful consumer electronics. Our headquarters are in Veldhoven, the Netherlands, and we have 18 office locations around the United States including main offices in Chandler, Arizona, San Jose and San Diego, California, Wilton, Connecticut, and Hillsboro, Oregon.

As a Machine Learning Engineer on our core Software AI team, you will be at the forefront of designing and developing cutting-edge GenAI applications.

You will be working closely with business stakeholders and data engineers to communicate AI recommendations to senior management.

Role and responsibilities

  • Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AIML solutions.

  • Design, build, and deploy state of the art AIML models to solve complex business problems.

  • Understand key performance levers and metrics to highlight AIML solution operational issues and drive improvement.

  • Foster close collaboration with engineers and infrastructure partners to implement robust and scalable solutions.

  • Communicate the results and insights effectively to partners and senior leaders, providing clear and actionable recommendations.

  • Stay updated with the latest trends, technologies, and best practices in AI and GenAI and data engineering.

  • Regularly research and present new ideas to improve the team's technical capabilities.

Education and experience

  • Industry experience 10+ years BSCS, 5+ years MS/PhD in Computer Science, Statistics, Applied Math, or a related field.

  • Expert in AIML modeling, Python, AIML Infrastructure, model deployment and MLOps.

  • Experience working in Supply Chain, Operations, or a related field

  • End to end GenAI application experience.

  • Knowledge in RAG, Prompt Engineering, LoRA and other GenAI techniques.

  • Ability to operate independently and lead without authority.

  • Superb communication and interpersonal skills.

Skills

  • Experience in AI System Development foundational model Lifecycle training, retrieval of Augmented Systems, and Model Evaluation.

  • Proficient in Large Language Models (LLMs) Architecture, creating targeted Instruction Datasets, and implementing Quantization and Inference Optimizations.

  • Capable of covering Problem Definition, Data Acquisition, and Full-cycle Deployment, utilizing tools like MLflow, Cloud Platforms like AWS, Google Cloud, Azure.

  • Proprietary Models like GPT-4 and Claude, Open-source Models like Llama and Mistral, able to deliver high-performing, scalable, and cost-efficient AI solutions.

  • NLP libraries like NLTK, spaCy, GPT-3, BERT, and Hugging Face's Transformers to create sophisticated natural language processing solutions.

TECHNICAL SKILLS:

  •  Methodologies: Spiral, Agile, Waterfall, Lean.

  • Programming Language: C++, Python, Shell, SQL, R.

  • IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat.

  • ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, langchain,

  • llama-index,kore.ai.

  • DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers.

  • BERT, T5, Sentence Transformers, Foundational models.

  • Packages: Pandas, NumPy, Spark, Matplotlib, SciPy.

  • Cloud Technologies: AWS (EC2, S3, RDS, ECS, Lambda), Azure(VM, Functions, ACR, AKS), Digital Ocean, GCP, Paperspace.

  • Database: MySQL, PostgreSQL, MongoDB, ChromaDB, Pinecone, SQLite.

  • Web Frameworks and Web Servers/ Deployment.

  • Fast API, Flask, Nginx, Gunicorn, Uvicorn, Docker, Kubernetes.

  • Miscellaneous Tools and Technologies:

  • JIRA, Auto Gluon, GitHub Actions, Github Issues, Datadog, MS Power BI, Postman, Locust, Stream lit, CUDA, cuDNN, TensorRT

  • Version Control: Git, GitHub, DVC (Data Version Control)

  • Operating Systems: Windows, Linux, Mac  

Other information

PHYSICAL DEMANDS AND WORK ENVIRONMENT

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.

  • The employee is occasionally required to move around the campus. 

  • The employee may occasionally lift and/or move up to 20 pounds.

  • May require travel dependent on business needs.

  • Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.

  • Can work under deadlines.

The current base annual salary range for this role is currently:

$0-0

Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members.

The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company’s 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US.

All new ASML jobs have a minimum application deadline of 10 days.

This position requires access to controlled technology, as defined in the Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.

Diversity and inclusion

ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

Need to know more about applying for a job at ASML? Read our frequently asked questions.

Request an Accommodation

ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities.  An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company’s reasonable accommodation process.

Please note: This email address is solely intended to provide a method for applicants to initiate ASML’s process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

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Tags: Agile ANN APIs Architecture AWS Azure BERT Claude Computer Science CUDA cuDNN Docker EC2 ECS Engineering Flask GCP Generative AI Git GitHub Google Cloud GPT GPT-3 GPT-4 Jira Jupyter Keras Kubernetes Lambda LangChain Linux LLaMA LLMs LoRA LSTM Machine Learning Mathematics Matplotlib MLFlow MLOps Model deployment MongoDB MySQL NLP NLTK NumPy ONNX OpenAI Open Source Pandas PhD Pinecone PostgreSQL Power BI Prompt engineering Python PyTorch R RAG Research RNN Scikit-learn SciPy spaCy Spark SQL Statistics TensorFlow TensorRT Transformers

Perks/benefits: 401(k) matching Career development Flex vacation Health care Insurance Medical leave

Region: North America
Country: United States

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