Sr. Staff AI/Machine Learning Engineer
| Company | Abbott |
|---|---|
| Location | San Diego, CA, USA |
| Salary | $128000 – $256000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s Degree in Computer Science, Engineering (Mathematics/Physics), Information Systems, or related field.
- 10+ years of Software Engineering, or related work experience or Master’s Degree and 7+ years of work experience.
- 5+ years of experience in AI/ML technologies and 1 year of GenAI experience.
Responsibilities
- Drive and develop AI technologies and solutions that provide transformational impact to the functions of our business.
- Develop and implement industry leading GenAI, statistical models and machine learning algorithms to analyze diverse sources of data, ensuring they meet business requirements and are delivered on time.
- Develop and Maintain AI Pipelines: Ensure smooth operation of data and model training pipelines and troubleshoot any issues that arise.
- Tune and Optimize Models: Adjust and refine pre-existing generative AI models to enhance performance, adapt to new data, or meet specific project requirements.
- Knowledge and experience in developing RAG systems using Azure or other platforms. Integrate with LLMs for improved performance.
- Use state-of-the-art methods to interpret and analyze data from multiple angles, identify patterns, trends, and insights.
- Build predictive models and machine-learning algorithms to forecast future trends and outcomes.
- Design and implement APIs for exposing data and models, ensuring they adhere to best practices in software engineering.
- Collaborate with data scientists, data engineers and business teams to implement models.
- Stay abreast of the latest AI research and technologies, evaluating and adopting them to maintain our competitive edge.
- Communicate complex AI concepts to non-technical stakeholders, facilitating informed decision-making.
Preferred Qualifications
- M.S. or Ph.D. in Computer Science, Engineering (Mathematics/Physics), Information Systems, or related field.
- Advanced skills in Generative Models: Knowledge of models, fine-tuning foundation models like GPT-4, and understanding their architecture, training processes, and applications.
- Natural Language Processing (NLP): A strong understanding of NLP to work with text generation and analysis. Experience with large language model frameworks such as spaCy and LangChain.
- Experience in model development for time series data, signal and image processing.
- Proven track record of developing AI solutions and deploying to production environment.
- Deep understanding of AI/ML algorithms, data structures, and software engineering principles.
- Expertise with at least one cloud computing platforms (e.g., AWS, Azure, Google Cloud).
- Proficiency in Python, SQL and NoSQL databases. Familiarity with machine learning frameworks (like Keras, PyTorch, TensorFlow) and libraries (like scikit-learn, scipy and statsmodel). Good knowledge of additional programming languages such as .NET Core and Java.
- Excellent communication skills, with the ability to articulate technical concepts to a variety of audiences.
- Ability to thrive in a fast-paced and dynamic environment.