Model: Fe2x/distilroberta-ai-job-embeddings
Author: Fe2x
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, roberta, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:757, loss:MultipleNegativesRankingLoss, dataset:Fe2x/ai-job-embedding-finetuning, arxiv:1908.10084, arxiv:1705.00652, base_model:sentence-transformers/all-distilroberta-v1, base_model:finetune:sentence-transformers/all-distilroberta-v1, model-index, text-embeddings-inference, endpoints_compatible, region:us
Base models (finetune): id: sentence-transformers/all-distilroberta-v1
Card metadata: tags: sentence-transformers, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:757, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-distilroberta-v1
widget: source_sentence: Data Scientist for Employee Engagement, statistical methods, user classification models
sentences: Experience : 8 to 10 Years  Job Description:Mandatry Skill: AWS ,python
knowledge To ensure successful initiation, planning, execution, control and completion of the project by guiding team members on technical aspects, conducting reviews of technical documents and artefacts.Lead project development, production support and maintenance activities.Fill and ensure timesheets are completed, as is the invoicing process, on or before the deadline. Lead the customer interface for the project on an everyday basis, proactively addressing any issues before they are escalated. Create functional and technical specification documents. Track open tickets/ incidents in queue and allocate tickets to resources and ensure that the tickets are closed within the deadlines.Ensure analysts adhere to SLA/KPI/OLA. Ensure that all in the delivery team, including self, are constantly thinking of ways to do things faster, better or in a more economic manner. Lead and ensure project is in compliance with Software Quality Processes and within timelines. Review functional and technical specification documents. Serve as the single point of contact for the team to the project stakeholders.Promote team work, motivate, mentor and develop subordinates. Provide application production support as per process/RACI (Responsible, Accountable, Consulted and Informed) Matrix., Experience: 1-5 years of overall work history experience with 1 of those year being company-based IT experience. is a plus-or 1 year of IT company related experience or 2 years of all IT related experience
Technical Experience (must haves): Python, Java or C# or C++ (one or the other) More than one isa plus with also SQL and Linux – Good for resumes to have Linux on them. Must know how to code in one of these coding languages: Python, Java, C#, C++, Scala
Education: MUST have a bachelor’s or master’s degree in data science, Statistical Computing, Mathematical Statistics, Mathematics, Computer Science: Software Engineering, Information Systems:Software Engineering, SoftwareDevelopment, Information Technology: Programming and Software Development, Computer Science, Computer Systems Engineering, Industrial Engineering, if it’s a non-related IT degree outside of IT, they must have an Associates within IT. Physic degrees would be case by case based on the actual roles they have had since graduation. Relevant roles for BD would pass them with those degree, experience at Amazon, driving productivity and retention, and resulting in a motivated workforce of over 1.5 million associates and corporate employees. These are the questions we ask — Are we facilitating the right conversations to build an engaged workforce? What trends are we seeing in our employee data and what should managers do about it? How do we solve customer problems in the most efficient way possible? If these challenges sound interesting to you, you want to be a part of building ‘first of their kind’ products, and you are passionate about putting employee experience first, consider the PeopleInsight team. PI helps Amazon drive improvements in employee talent outcomes (e.g., job satisfaction and retention), and strive to be Earth’s Best Employer through scalable technology.

PI is looking for a customer-obsessed Data Scientist for Employee Engagement Services, a suite of internal employee engagement and recognition products supporting Amazonians WW, with a strong track record of delivering results and proven research experience. This role will own and execute strategic cross-functional employee engagement experiments, analysis and research initiatives across Operations and Corporate audiences for high CSAT products. The Data Scientist must love extracting, cleaning and transforming high volume of data into actionable business information and be able to drive actionable insights. The data scientist will partner with Product, UX and Dev teams to own end-to-end business problems and metrics with a direct impact on employee experience. Success in this role will include influencing within your team and mentoring peers. The problems you will consider will be difficult to solve and often require a range of data science methodologies combined with subject matter expertise. You will need to be capable of gathering and using complex data set across domains. You will deliver artifacts on medium size projects, define the methodology, and own the analysis. Your findings will affect important business decisions. Solutions are testable and reproducible. You will create documents and share findings in line with scientific best practices for both technical and nontechnical audiences.

Key job responsibilities

 Implement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.). Drive design and development of user classification models and other predictive models to enable a personalized experience for a user. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. Collaborate with product management, software developers, data engineering, and business leaders to define product requirements, provide analytical support, and communicate feedback; develop, test and deploy a wide range of statistical, econometric, and machine learning models. Build customer-facing reporting tools to provide insights and metrics which track model performance and explain variance. Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations. Earn the trust of your customers by continuing to constantly obsess over their needs and helping them solve their problems by leveraging technology

About The Team

The PeopleInsight team is a collaborative group of Business Intelligence Engineers, Data Scientists, Data Engineers, Research Scientists, Product Managers, Software Development Engineers, Designers and Researchers that studies a workforce numbering in the hundreds of thousands. Our work is dedicated to empowering leaders and enabling action through data and science to improve the workplace experience of associates and ensure Amazon is Earth's Best Employer.

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment

Preferred Qualifications

 Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

Amazon is committed to a diverse and inclusive workplace. Amazon is 

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.



Company - Amazon.com Services LLC

Job ID: A2605420, source_sentence: AWS FinOps cost optimization, real-time data streaming applications, cloud data warehousing (Redshift/Snowflake)
sentences: experience with kubernetes operating knowledge.Working with data pipelines and experience with Spark and FlinkExcellent communication skillsNice to have:Programming experience in Scala, Java, and PythonKnowledge on Machine Learning (Client)
Job description:The client seeks to improve products by using data as the voice of our customers. We are looking for engineers to collaborate with users of our infrastructure and architect new pipelines to improve the user onboarding experience. As part of this group, you will work with petabytes of data daily using diverse technologies like Spark, Flink, Kafka, Hadoop, and others. You will be expected to effectively partner with upstream engineering teams and downstream analytical & product consumers. Experience:10+ YOE, with 5+ years of experience designing and implementing batch or real-time data pipelinesHands-on experience on batch processing (Spark, Presto, Hive) or streaming (Flink, Beam, Spark Streaming)Experience in AWS and knowledge in its ecosystem. Experience in scaling and operating kubernetes.Excellent communication skills is a must, experience working with customers directly to explain how they would use the infrastructure to build complex data pipelinesProven ability to work in an agile environment, flexible to adapt to changesAble to work independently, research on possible solutions to unblock customerProgramming experience in Scala, Java, or PythonFast learner and experience with other common big data open source technologies is a big plusKnowledge on machine learning (Client) is a nice-to-have, skillset in data analysis, statistical modeling, and data visualization.Collaborate with marketing teams, IT, and other departments to gather data requirements and share insights.Clearly communicate findings and recommendations to both technical and non-technical stakeholders.Occasional travel for training, meetings, or trade shows may be required
Additional duties and Experience:Bachelor’s degree required5+ years of relevant work experience requiredIntermediate to advanced level of experience with Google Analytics, Tag Manager requiredIntermediate to advanced level of experience with SQL requiredIntermediate level of experience using Front-End Data Visualization & Analytical Tools is a must
 Specialized Skills:Fundamental understanding of major functions in a global organizationStrong business acumen (in one or more verticals) is preferredData literacy is a mustStrong analytics and data analysis skills is preferredStrong visualization skills is preferredUX design expertise is a plusExperience in a Life Sciences – Med Device company is a plusData science/Advanced analytical skills is a plus, experience in machine learning, distributed microservices, and full stack systems  Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake  Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community  Research cloud cost abnormalities and provide insights into its financial impact and solutions for supporting needed changes for correction  Work with lines of businesses to implement savings opportunities within their cloud footprints and applications.  Provide technical leadership and guidance around architectural best practices that help elevate Cost Optimization as a pillar of the Well-Architected Framework  Influence and help achieve our enterprise cost efficiency strategy 

Basic Qualifications: 

 Bachelor’s Degree  At least 6 years of experience in application development (Internship experience does not apply)  At least 2 years of experience in big data technologies  At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 

Preferred Qualifications:

 7+ years of experience in application development including Python, SQL, Scala, or Java  4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)  4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)  4+ year experience working on real-time data and streaming applications  4+ years of experience with NoSQL implementation (Mongo, Cassandra)  4+ years of data warehousing experience (Redshift or Snowflake)  4+ years of experience with UNIX/Linux including basic commands and shell scripting  2+ years of experience with Agile engineering practices 

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Data Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is 

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC)., source_sentence: Azure Kubernetes DevOps Machine Learning Engineer Cupertino
sentences: experience with speech interfaces Lead and evaluate changing dialog evaluation conventions, test tooling developments, and pilot processes to support expansion to new data areas Continuously evaluate workflow tools and processes and offer solutions to ensure they are efficient, high quality, and scalable Provide expert support for a large and growing team of data analysts Provide support for ongoing and new data collection efforts as a subject matter expert on conventions and use of the data Conduct research studies to understand speech and customer-Alexa interactions Assist scientists, program and product managers, and other stakeholders in defining and validating customer experience metrics

We are open to hiring candidates to work out of one of the following locations:

Boston, MA, USA | Seattle, WA, USA

Basic Qualifications

 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of data scientist experience Bachelor's degree Experience applying theoretical models in an applied environment

Preferred Qualifications

 Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science

Amazon is committed to a diverse and inclusive workplace. Amazon is 

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2610752, skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. 
 Responsibilities
Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements

Qualifications
Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau), Skills Required:
Azure , Python, AIML, Kubernetes, Devops


Looking for a positive response and fruitful alliance :)Dushyant ChaudharySenior Executive Talent AcquisitionCell No: +1 (201) 448-1094Email ID: dushyant.chaudhary@okayainc.com, source_sentence: Job search query: Lead Data Scientist risk compliance GenAI LLM contract remote USA
sentences: experience1. Experience in working with big data in a cloud environment (Azure-Databricks) 2. Experience with PowerBI and Cognos visualization tools (PowerBI Pro experience is a plus) 3. Experience writing advanced SQL
Technical Overview  The Data Analyst will provide technical support for the Agile Development Team in their efforts to create Consumable Data Sets (CDS) using Azure Cloud data via Databricks (DBX) and PowerBI cloud reports. They serve the team but also will take on some development tasks as time allows.  Tech Leader Duties  1. Provide Operational and Technical Leadership for the Agile Development Team a. Assist the team with development needs and/or questions b. Knowledge in Data Engineering with DataBricks, Hadoop and spark SQL to ensure code is optimized as per request if needed. c. Review BI product to ensure that the requirements are met d. Validate data e. Quick Daily Stand up and see any Open issues or blockers team is facing f. Responsible to ensure the EXL team is following processes as defined by the Team and Tech leaders (updating task hours, updating task description and status). g. Recognize when EXL development team needs to collaborate on user stories or issues on their own (try to find own solution before announcing in DSU). 2. Participate in New requirements /pre-refinement, refinement sessions with business requestors leads and EXL Contractors a. Support the Product Manager, Scrum Leader, and Architect with requirements b. Set up meetings and take notes c. Knowledge sharing with the team 3. Enable User Acceptance Testing a. Review product that are ready to test b. Set up meetings with the requestor, business owner, and their delegates to introduce the product and begin UAT c. Follow up to ensure UAT is complete 4. Coaches team in best practices a. Support the Agile Framework by identifying anti-patterns and working with the scrum master to coach the team in best agile practices b. Support DE and BI deployments (Build /release pipeline) c. Version control is maintained in development d. Documentation is stored in the GitHub or appropriate location (Mapping / Tech doc). e. All testing and validation should first peer review by Tech Lead 5. Provides Development support as part of the team a. Develops CDS and BI reports 6. After-hours Operational Support a. Monitoring all intraday reports after noon ET b. Take any actions necessary due to morning report issues 7. Conducts quarterly usage audits a. Identifies the number of unique users and report executions and provides recommendations to management on low usage reports  Requirements  1. Experience in working with big data in a cloud environment (Azure-Databricks) 2. Experience with PowerBI and Cognos visualization tools (PowerBI Pro experience is a plus) 3. Agile development experience 4. Experience writing advanced SQL
#LI-AD1, Qualifications:Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, Applied Statistics, or related field.8 years of experience in building data science and machine learning solutions using Python, Scala, Spark DataBricks, SQL, or similar technologies.Experience in text GenAI & LLM.Deep understanding of probability, statistics, machine learning, anomalies/outliers’ detection, and data correlation/feature analysis.Strong problem-solving skills and algorithm design capabilities.Proficiency in Python coding and familiarity with relevant ML packages.
Mainz Brady Group is a technology staffing firm with offices in California, Oregon and Washington. We specialize in Information Technology and Engineering placements on a Contract, Contract-to-hire and Direct Hire basis. Mainz Brady Group is the recipient of multiple annual Excellence Awards from the Techserve Alliance, the leading association for IT and engineering staffing firms in the U.S.
Mainz Brady Group is, Experience: · Senior level Data Scientist experience.· 10 years of relevant work experience.· 6 + years of Python and advanced SQL experience.Nice to have:· PySpark experience
Leads proliferation of machine learning and artificial intelligence throughout the enterprise. Identifies and solves business problems by using various numerical techniques, algorithms, and models in statistical modeling, machine learning, operations research, and data mining. Uses advanced analytical capabilities to support data science initiatives. Communicates across product teams and with customers and educates on artificial intelligence, machine learning, and statistical models. Leads interactions between analytics, business units and other departments. ESSENTIAL FUNCTIONS:· 20% Leads all data mining and extraction activities and applies algorithms to derive insights.· 15% Synthesizes analytical findings for consumption by the teams and senior executives.· 15% Leads proliferation of machine learning and artificial intelligence solutions.· 15% Applies artificial intelligence techniques to achieve concrete business goals while managing limited resources and constraints around data.· 15% Mentors and develops junior data scientists for advanced data analysis.· 10% Translates business priorities and creates data science deliverables.· 10% Leads implementation of ML/AI/DS best practices for new data products and builds robust and scalable software. Education Level: Bachelor's Degree, source_sentence: Deep learning research, large-scale driving data, road scene understanding
sentences: Qualifications

Your Experience

M.S. or Ph.D degree in Computer Science, Mathematics, Electrical Engineering or related field or equivalent military experience required8+ years industry experience in Machine Learning techniques and data analytics8+ experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Java, C++, Python, RustExperience with NLP, Recommender Systems, and LLM is strongly preferredExperience with Formal Methods toolchain (z3, cvc5, TLA+) will be a plusExcellent communication skills with the ability to influence at all levels of the organizationA self driven individual contributor and an excellent team player

Additional Information

The Team

Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next generation insights product (AIOps for NGFW) gives large cybersecurity operators a force multiplier that provides visibility into the health of their next-generation-firewall (NGFW) devices. It enables early detection of issues at various levels of the stack via advanced time-series forecasting and anomaly detection using novel deep learning techniques. Our goal is to be able to prevent service-impacting issues in critical security infrastructure that operates 24/7/365 with zero false positives and zero false negatives.You will be working on the best large language model in the cyber security industry.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is 

All your information will be kept confidential according to 

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $140,100/yr to $220,600/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Is role eligible for Immigration Sponsorship?: Yes, QUALIFICATIONSMust-Have:Bachelor’s Degree in Computer Science, Information Systems, or related field.A minimum of 3-5 years of experience as a data engineer or in a similar role (SQL, Python, etc.)Experience working in cloud environments (AWS, Azure, etc.)Solid understanding of data governance principles and practices.Knowledge of a Data Catalog, Data Lineage, and Data Quality frameworksPrior experience with Data governance tools such as Atlan, Collibra, Alation, Manta, etc. is highly desired.Strong analytical and technical problem-solving skills.Excellent interpersonal and communication skills.Takes ownership and pride in end-to-end delivery of projects and initiatives.Comfort with a data-intensive and high transaction volume environmentDeadline-driven mindsetNice-to-have:Prior experience in Finance and Asset management domain is a plus.Prior experience with Snowflake and DBT is a plus, experience where customer success continues to motivate what is next.

Netradyne is committed to building a world-class team of technologists and industry experts to deliver products that improve safety, increase productivity, and optimize collaboration within organizations. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology – that has put ‘legacy’ providers in a “spin” cycle trying to catch up. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.

AI Engineer - Deep Learning

We are looking for a highly independent and self-driven Senior Research Engineer who is passionate about pushing the boundaries of deep learning research, to join our fast-growing technology team. This person should be able to work autonomously, think creatively, and explore new ideas and approaches to tackle complex problems in the field. You will have an opportunity to work with very large-scale real-world driving data. Netradyne analyzes over 100 million miles of driving data every month, covering over 1.25 million miles of US roads. This role provides a unique opportunity to work with cutting-edge technology and tackle complex problems in the field of deep learning using vast real-world datasets. The Deep Learning Research Engineer will have the chance to make a significant impact on road safety and advance the field of deep learning research. If you are driven by curiosity and have a passion for innovation, we encourage you to apply.

Responsibilities

Develop and implement deep learning algorithms to extract valuable insights from large-scale real-world vision data.Design and commercialize algorithms characterizing driving behavior.Innovate and develop proof-of-concept solutions showcasing novel capabilities.


Requirements

Ph.D. in Computer Science, Electrical Engineering, or a related field with publications in top conferences (CVPR/NeurIPs/ICML/ICLR).Strong background in deep learning, machine learning, and computer vision.Excellent programming skills – Python.Proficiency in PyTorch or TensorFlow.Experience with training large models with huge datasets.Ability to take abstract product concepts and turn them into reality.Location: San Diego, CA - Hybrid


Desired Skills

Experience with image, video, and time-series data.Experience with road scene understanding (objects, lanes, interactions, signs, etc.).Experience with person/driver scene understanding (pose, distracted, eye status etc.).Experience with Predictive analytics.


Other Essential Abilities and Skills: 

Strong analytical and problem-solving skills.Excellent verbal and written communication skills.Energetic or passionate about AI.Ability to work independently and as part of a team.


Economic Package Includes:

Salary $145,000- $180,000Company Paid Health Care, Dental, and Vision CoverageIncluding Coverage for your partner and dependentsThree Health Care Plan OptionsFSA and HSA OptionsGenerous PTO and Sick Leave401(K) Disability and Life Insurance Benefits$50 phone stipend per pay period

San Diego Pay Range

$145,000—$180,000 USD

We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

If there is a match between your experiences/skills and the Company's needs, we will contact you directly.

Netradyne is an equal-opportunity employer.

Applicants only - Recruiting agencies do not contact.

California Consumer Privacy Act Notice

This notice applies if you are a resident of California (“California Consumer”) and have provided Personal Information to Netradyne that is subject to the California Consumer Privacy Act (“CCPA”). We typically collect Personal Information in the capacity of a service provider to our clients, who are responsible for providing notice to their employees and contractors and complying with CCPA requirements.

During the past 12 months, we have collected the following categories of Personal Information: (a) identifiers; (b) biometric information (see our Biometric Data Privacy Policy for more information); (c) Internet or other electronic network activity information; (d) geolocation data; (e) Audio, electronic, visual, thermal, olfactory, or similar information; (f) professional or employment-related information (from job applicants and from clients regarding their employees and contractors); and (g) education information (from job applicants). We will not discriminate against any person that exercises any rights under the CCPA.

We have collected this Personal Information for the business purposes and commercial purposes described in this Policy, including to provide the Services to our clients, process job applications, and for marketing and promotion.

The sources of such Personal Information are you, our clients and our service providers. We have shared this information this only with our clients (if you are an employee or contractor of them) or our service providers.

If you are a California Consumer, you have the following rights under the CCPA:

You have the right to request:The categories and specific pieces of your Personal Information that we’ve collected;The categories of sources from which we collected your Personal Information;The business or commercial purposes for which we collected or sold your Personal Information; andThe categories of third parties with which we shared your Personal Information.You can submit a request to us for the following additional information:The categories of third parties to whom we’ve sold Personal Information, and the category or categories of Personal Information sold to each; andThe categories of third parties to whom we’ve disclosed Personal Information, and the category or categories of Personal Information disclosed to each.You can request that we delete the Personal Information we have collected about you, except for situations when that information is necessary for us to: provide you with a product or service that you requested; perform a contract we entered into with you; maintain the functionality or security of our systems; comply with or exercise rights provided by the law; or use the information internally in ways that are compatible with the context in which you provided the information to us, or that are reasonably aligned with your expectations based on your relationship with us.You have the right to request that we not sell your Personal Information. However, we do not offer this opt-out as we do not sell your Personal Information as that term is defined under the CCPA.

You can make a request under the CCPA by e-mailing us at privacy@netradyne.com We may request additional information from you to verify your identify. You may also designate an authorized agent to submit a request on your behalf. To do so, we will require either (1) a valid power of attorney, or (2) signed written permission from you. In the event your authorized agent is relying on signed written permission, we may also need to verify your identity and/or contact you directly to confirm permission to proceed with the request.

As noted above, if your request concerns Personal Information collected in our capacity as a service provider to a client, we are not responsible for responding to the request and may send the request to the client for a response.

Governing law

This Services are provided in the United States, and are located and targeted to persons in the United States and our policies are directed at compliance with those laws. If you are uncertain whether this Policy conflicts with the applicable local privacy laws where you are located, you should not submit your Personal Information to Netradyne.
datasets: Fe2x/ai-job-embedding-finetuning
pipeline_tag: sentence-similarity
library_name: sentence-transformers
metrics: cosine_accuracy
model-index: name: SentenceTransformer based on sentence-transformers/all-distilroberta-v1
results: task: type: triplet
name: Triplet
dataset: name: ai job validation
type: ai-job-validation
metrics: type: cosine_accuracy
value: 0.9893617033958435
name: Cosine Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: ai job test
type: ai-job-test
metrics: type: cosine_accuracy
value: 1
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 19
Created: 2025-08-22 10:37:44