Senior AI/ML Engineer, Applied Research
Senior AI/ML Engineer, Applied Research
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$ 98000 - 196000
1 Vacancy
Job Description
JOB DESCRIPTION:
Working at Abbott
At Abbott you can do work that matters grow and learn care for yourself and family be your true self and live a full life. Youll also have access to:
- Career development with an international company where you can grow the career you dream of.
- Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
- An excellent retirement savings plan with high employer contribution.
- Tuition reimbursement the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelors degree.
- A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
- A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity working mothers female executives and scientists.
The Opportunity
The Senior AI/ML Engineer Applied Research position works out of our Sunnyvale CA or Sylmar CA location in the Cardiac Rhythm Management Division. As a global leader in Cardiac Rhythm Technologies we focus on innovative technologies that can improve the way doctors treat people with heart arrhythmias or irregular heartbeats.
What Youll Work On
Lead the development of innovative ML-enabled features on a novel device and cloud platform. Thecandidatewillbe responsible forbig data engineering data wranglinganddata analysisintheCloud. The role will alsocontribute todefining and implementing Big Data Strategy for theorganizationalong with drivingtheimplementation of solutions for the candidatewill be working withotherdata engineers data analystsand data scientists to focus on applying data engineering data science and machine learning approaches to solve business problems.
As a senior member of the Applied Research team you will be building data analytics capabilities to uncover customerproductand operational should be able to develop data pipelines capable ofhandlingcomplex data sets quickly and securely as well as operationalize data science theywillbe working in a malleable technology-driven environmentutilizingtools such asDatabricksAzure Spark etc.
The candidate should have a passion for data science and software engineering in a biomedical sought-after qualities include versatility and a desire to continuously learn improve and empower other team members. Candidate will support building scalablehighly available efficient and secure software solutions forbig data initiatives.
Additionally the digital health applied research candidate identifies plans recommends and completes technical programs leading to innovative applications of new and existing products and technologies having major division or company-wide and carries out research projects and investigations using available data. Disseminates findings and product implications to management engineers and where appropriate to the scientific community through publications conferences and reports. Investigates patent implications of research outcomes and coordinates applications with intellectual property attorneys.
Required Qualifications
- Bachelors degree in Computer Science Data Science Engineering or similar with an emphasis in artificial intelligence and machine learning.
- Minimum 5 years of relevant industry experience inSoftware Engineering DataEngineering or Big Data
- Software development experience ideally in PythonPySpark Java C#
- Knowledge of or direct experience with Databricks and/or Spark and with Azure
- Practical Knowledge ofLinux
- A willingness to learn new software development languages to meet goals andobjectives.
- Self-motivated with ability to collaborate across multiple disciplines (e.g. electrical software systems) to meet program milestones.
- Basic experience in exploratory data analysis and visualization.
- Experience in preparation and manipulation of training and validation datasets including data structuring normalization augmentation and synthetic methods.
- Understanding of conventional statistical methods and techniques.
- Knowledge of strategies forprocessinglarge amountsof structured and unstructured data including integrating data from multiple sources
- Knowledge of data cleaning wranglingvisualizationand reporting
- Abilityto explore new alternatives or options to solve data mining issues andutilizea combination of industry best practices data innovations and experience
- Familiarityofdatabases BI applications data quality and performance tuning
PREFERRED QUALIFICATIONS
- Database creation/usage experience to manage store and query multimodal datasets (e.g. PostgreSQL Mongo etc.)
- Proficiency in common AI/ML programming languages (at least one of): Python (preferred) R Julia or MATLAB.
- Proficiency with common libraries used for numeric manipulation and machine learning such as Numpy Pandas Scikit-Learn Tensorflow Keras etc.
- Masters or PhD with an emphasis on multimodal machine learning.
- Hands-on experience with a variety of supervised semi-supervised and unsupervised machine learning methods.
- Experience in transferring trained models to a production cloud environment e.g. API implementation containerization.
- Familiarity with ISO etc.
- Experience in compiling and optimization techniques (e.g. quantization pruning compression) to deploy models on edge devices
- Experience in model life cycle management within an distributed HPC environment such as Azure Databricks.
- Experienced in the sequential phases of the medical device development from early feasibility and VOC through development test commercial launch and post-market support.
- Experience in first-in-human and pivotal clinical trials.
- Experience and/or familiarity with cardiac anatomy and interventional cardiology.
- Excellent writtenverbaland listeningcommunication skills
- Comfortable working asynchronously with a distributed team
- Ability to work within a team and as an individual contributor in a fast-paced changing environment.
- Ability to work in a highly matrixed and geographically diverse business environment.
- Ability to leverage and/or engage others to accomplish projects.
- Strong analytical problem solving skills.
- Strong verbal and written communications with ability to effectively communicate at multiple levels in the organization.
- Multitasks prioritizes and meets deadlines in timely manner.
- Strong organizational and follow-up skills as well as attention to detail.
Learn more about our health and wellness benefits which provide the security to help you and your family live full lives:
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer committed to employee diversity.
Connect with us at on Facebook at and on Twitter @AbbottNews.
The base pay for this position is
$98000.00 $196000.00In specific locations the pay range may vary from the range posted.
JOB FAMILY:
Product Development
DIVISION:
CRM Cardiac Rhythm Management
LOCATION:
United States > Sylmar : 13150 Telfair Avenue
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
Yes 5 % of the Time
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day) Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: EEO is the Law link - Espanol: Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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