Software Engineer (Machine Learning)

San Jose, United States

Thales

From Aerospace, Space, Defence to Security & Transportation, Thales helps its customers to create a safer world by giving them the tools they need to perform critical tasks

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Location: San Jose, United States of America

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

This is a hybrid full-time position in San Jose, California.

Position Summary


A Software Engineer holding this position contributes to and influences the design of new features, continuously keeps abreast of features being rolled out in major new releases on Linux and Windows and works in the area of machine learning and data science, NLP, anomaly detection, LLMs for cloud security. This position will contribute to the new product development and enhancements to existing products that are called for while addressing customer requirements, keeping up with technology advances, achieving established product quality goals, and meeting time-to-market requirements 


Key Areas of Responsibility

  • Design and train machine-learning models for data discovery and related applications.

  • Design and implement prediction interface for pre-trained models across platforms.

  • Design and implement trainable models and training workflows.

  • Build and maintain scalable ML pipelines including MLops.

  • Enhancing data collection procedures to include information that is relevant for building ML systems

  • Processing, cleansing, and verifying the integrity of data used for ML model training and prediction

  • Work with the system test team to define test plans, troubleshoot and resolve software defects.

  • Investigations of relevant standards (e.g. data classification, data governance, UEBA) and technologies (such as NER, LLM, knowledge graphs) and design products that integrate seamlessly into the emerging ecosystems and conform to standards


Basic Qualifications

  • BS Statistics, Mathematics, Computer Science, or equivalent

  • 2+ years of industry experience with data science

  • Hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural networks, support vector machines, anomaly detection, and natural language processing.

  • Expertise in modern advanced analytical tools and programming languages such as Python, Scala, and/or Java.

  • Experienced in SQL, Hive, SparkSQL. Java and Scala programming experience a plus.

  • Experience with building end-to-end reusable pipelines from data acquisition to model output delivery.

  • Knowledge and passion for solid software engineering practices, release processes and project life cycles.

  • Excellent communications skills, both verbal and written. Must be able to write clear functional specifications and design documents and engage with stake holders in technical discussions.

  • Self-directed; requires minimal supervision on work products

  • Strong team player. Willingness to proactively interact with the team and achieve results in a dynamic small company environment
     

Additional preferred experience/training including:

  • MS in Statistics, Mathematics, Computer Science, or equivalent fields.

  • Innovative thinker in all areas of system design and debugging.

  • Proven ability to initiate original and creative technical efforts.

  • Ability to multitask, and work effectively in fast paced environment.

  • Familiarity with security software is a plus

  • Cloud platforms for GenAI such as GCP, AWS etc

Physical Demands 

Typical office environment. No special physical requirements

Special Position Requirements 

Core Business Hours Monday-Friday

What We Offer


The anticipated TTC range for this role is 113,574.83 - 189,291.38 USD Annual. The Company reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.

Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following: 
 

• Elective Health, Dental, Vision, FSA/HSA, Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance, Legal Plan, Identity Theft, and Pet Insurance.

• Retirement Savings Plan after 30 days of employment with a company contribution and a match, and with no vesting period. 

• Company paid holidays and Paid Time Off. 

• Company provided Life Insurance.
 

Why Join Us?

Say HI and learn more about working at Thales click here

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This position will require successfully completing a post-offer background check. Qualified candidates with [a] criminal history will be considered and are not automatically disqualified, consistent with federal law, state law, and local ordinances.

Thales champions inclusion and we believe diversity strengthens the fabric of our culture. Thales is an Equal Opportunity Employer, including disability/veterans.


If you need an accommodation or assistance in order to apply for a position with Thales, please contact us at talentacquisition@us.thalesgroup.com.

The reference Total Target Compensation(TTC) market range for this position, inclusive of annual base salary and the variable compensation target, is between

This reflects how companies in a similar industry and geographic region generally pay for similar jobs. This range helps the Company make pay decisions as one data point among many. Where a position falls within this range is also dependent on other factors including – but not limited to – the employee’s career path history, competencies, skills and performance, as well as the company’s annual salary budget, the customer’s program requirements, and the company’s internal equity. Thales may offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.

(For Internal candidate, if you need more information, please reach out to your HR Shared Service, 1st Point) 

Thales provides an extensive benefits program for all full-time employees working 30 or more hours per week and their eligible dependents, including the following:
•Elective Health, Dental, Vision, FSA/HSA, Voluntary Life and AD&D, Whole Group Life w/LTC, Critical Illness, Hospital Indemnity, Accident Insurance, Legal Plan, Identity Theft, and Pet Insurance

•Retirement Savings Plan after 30 days of employment with a company contribution and a match, and with no vesting period

•Company paid holidays and Paid Time Off

•Company provided Life Insurance, AD&D, Disability, Employee Assistance Plan, and Well-being Program

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Tags: AWS Classification Clustering Computer Science Data governance Data Mining Engineering GCP Generative AI Java Linux LLMs Machine Learning Mathematics MLOps Model training NLP Pipelines Python Scala Security SQL Statistical modeling Statistics

Perks/benefits: Career development Equity / stock options Health care Insurance

Region: North America
Country: United States

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