Applied Scientist Workplace Health Safety
Applied Scientist Workplace Health Safety
Posted on :
15-03-2025
Employer Active
1 Vacancy
The job posting is outdated and position may be filled
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Are you driven by the challenge of solving complex problems that directly impact the safety and wellbeing of millions of Amazon Associates worldwide Do you want to push the boundaries of AI to build cuttingedge solutions that make workplaces safer and more efficient If so we invite you to join our WHS DataTech team as an Applied Scientist and take your career to the next level!
At WHS DataTech we leverage Large Language Models (LLMs) Computer Vision and AIdriven innovations to develop industryleading solutions that proactively enhance workplace safety. Our work spans realtime risk assessment predictive analytics and AIpowered insights all aimed at creating a safer work environment at scale.
About the Role
As an Applied Scientist specializing in LLMs and Computer Vision you will play a pivotal role in shaping our nextgeneration safety solutions. Youll be at the forefront of innovation designing and implementing AIpowered features that redefine workplace safety. Your work will drive strategic decisions optimize system architecture and influence best practices ensuring our technology remains at the cutting edge.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Key job responsibilities
Apply LLM model to analyze complex unstructured datasets and extract meaningful insights.
Collaborate with software engineers to implement and deploy machine learning (LLM or CV) solutions.
Conduct experiments and evaluate model performance iterating and improving as needed.
Stay uptodate with the latest advancements in machine learning and related fields.
Collaborate with crossfunctional teams to understand business needs and identify areas for application of machine learning.
Present findings and recommendations to stakeholders and contribute to the overall research and development strategy.
3 years of building models for business application experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
PhD degree in CS CE or related technical field.
A formal PhD degree in CS CE or related technical field can be replaced by 5 years of relevant experience on top of a MSc and 7 years on top of a BSc.
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
At WHS DataTech we leverage Large Language Models (LLMs) Computer Vision and AIdriven innovations to develop industryleading solutions that proactively enhance workplace safety. Our work spans realtime risk assessment predictive analytics and AIpowered insights all aimed at creating a safer work environment at scale.
About the Role
As an Applied Scientist specializing in LLMs and Computer Vision you will play a pivotal role in shaping our nextgeneration safety solutions. Youll be at the forefront of innovation designing and implementing AIpowered features that redefine workplace safety. Your work will drive strategic decisions optimize system architecture and influence best practices ensuring our technology remains at the cutting edge.
Amazon offers a full range of benefits that support you and eligible family members including domestic partners and their children. Benefits can vary by location the number of regularly scheduled hours you work length of employment and job status such as seasonal or temporary employment. The benefits that generally apply to regular fulltime employees include:
1. Medical Dental and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly wed still love to hear from you! At Amazon we value people with unique backgrounds experiences and skillsets. If youre passionate about this role and want to make an impact on a global scale please apply!
Key job responsibilities
Apply LLM model to analyze complex unstructured datasets and extract meaningful insights.
Collaborate with software engineers to implement and deploy machine learning (LLM or CV) solutions.
Conduct experiments and evaluate model performance iterating and improving as needed.
Stay uptodate with the latest advancements in machine learning and related fields.
Collaborate with crossfunctional teams to understand business needs and identify areas for application of machine learning.
Present findings and recommendations to stakeholders and contribute to the overall research and development strategy.
3 years of building models for business application experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
PhD degree in CS CE or related technical field.
A formal PhD degree in CS CE or related technical field can be replaced by 5 years of relevant experience on top of a MSc and 7 years on top of a BSc.
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
