Model: pfrenee/distilroberta_ai_alignment
Author: pfrenee
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, roberta, sentence-similarity, feature-extraction, dense, generated_from_trainer, dataset_size:814, loss:MultipleNegativesRankingLoss, dataset:pfrenee/ai_alignment, 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:814, loss:MultipleNegativesRankingLoss
base_model: sentence-transformers/all-distilroberta-v1
widget: source_sentence: data modeling, predictive analytics, technical writing
sentences: experience in data engineeringStrong understanding of Datawarehousing conceptsProficient in Python for building UDFs and pre-processing scriptsProficient in sourcing data from APIs and cloud storage systemsProficient in SQL with analytical thought processExperience working on Airflow orchestrationMust have experience working on any of the cloud platforms - AWS would be preferredExperience with CI/CD tools in a python tech stackExperience working on Snowflake Datawarehouse would be nice to haveCompetent working in secured internal network environmentsExperience working in story and task-tracking tools for agile workflowsMotivated and Self-Starting: able to think critically about problems, decipher user preferences versus hard requirements, and effectively use online and onsite resources to find an appropriate solution with little interventionPassionate about writing clear, maintainable code that will be used and modified by others, and able to use and modify other developers’ work rather than recreate itBachelor’s Degree in related field, requirements and deliver innovative solutionsPerform data cleaning, preprocessing, and feature engineering to improve model performanceOptimize and fine-tune machine learning models for scalability and efficiencyEvaluate and improve existing ML algorithms, frameworks, and toolkitsStay up-to-date with the latest trends and advancements in the field of machine learning
RequirementsBachelor's degree in Computer Science, Engineering, or a related fieldStrong knowledge of machine learning algorithms and data modeling techniquesProficiency in Python and its associated libraries such as TensorFlow, PyTorch, or scikit-learnExperience with big data technologies such as Hadoop, Spark, or Apache KafkaFamiliarity with cloud computing platforms such as AWS or Google CloudExcellent problem-solving and analytical skillsStrong communication and collaboration abilitiesAbility to work effectively in a fast-paced and dynamic environment, Qualifications

3 to 5 years of experience in exploratory data analysisStatistics Programming, data modeling, simulation, and mathematics Hands on working experience with Python, SQL, R, Hadoop, SAS, SPSS, Scala, AWSModel lifecycle executionTechnical writingData storytelling and technical presentation skillsResearch SkillsInterpersonal SkillsModel DevelopmentCommunicationCritical ThinkingCollaborate and Build RelationshipsInitiative with sound judgementTechnical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)Problem Solving (Responds as problems and issues are identified)Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields


Desired Qualification(s)

Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering


Hours: Monday - Friday, 8:00AM - 4:30PM

Locations: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526

About Us

You have goals, dreams, hobbies, and things you're passionate about—what's important to you is important to us. We're looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them—friends, family, and passions. And we're looking for team members who are passionate about our mission—making a difference in military members' and their families' lives. Together, we can make it happen. Don't take our word for it:

 Military Times 2022 Best for Vets Employers WayUp Top 100 Internship Programs Forbes® 2022 The Best Employers for New Grads Fortune Best Workplaces for Women Fortune 100 Best Companies to Work For® Computerworld® Best Places to Work in IT Ripplematch Campus Forward Award - Excellence in Early Career Hiring Fortune Best Place to Work for Financial and Insurance Services




Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act., source_sentence: Foreign Exchange analytics, cross-border payments expertise, financial services reporting
sentences: requirements gathering to recommend SAP solutions that drive data-driven decision-making and operational efficiency.

Client Engagement And Advisory

Build and maintain robust client relationships, serving as a trusted advisor on SAP Analytics capabilities and industry best practices.Address client challenges by aligning SAP Analytics solutions with their strategic goals, enhancing their analytical capabilities and reporting functions.

Project Leadership And Management

Oversee SAP Analytics implementation projects, ensuring timely delivery within scope and budget.Lead and inspire cross-functional teams, promoting collaboration and innovation to meet and exceed project objectives.

Risk Management And Quality Assurance

Proactively identify and address potential project risks, developing strategies to mitigate them and ensure project success.Uphold the highest standards of quality for all project deliverables, ensuring they meet Argano’s expectations and client requirements.

Change Management And Training

Facilitate effective change management processes associated with the implementation of SAP Analytics solutions, minimizing business disruption.Design and conduct comprehensive training sessions to empower clients with the knowledge and skills to leverage SAP Analytics solutions fully.

Thought Leadership And Innovation

Maintain up-to-date knowledge of the latest SAP Analytics developments, trends, and best practices, positioning Argano as a thought leader in the field.Foster a culture of continuous improvement by sharing insights and best practices with clients and internal teams.

Minimum And/or Preferred Qualifications

Education: Bachelor's or master's degree in Business Administration, Computer Science, Information Systems, Engineering, or a related field.Experience: Minimum of 5+ years in SAP consulting, with extensive experience in SAP Analytics Suite (which includes native SAP products, Google, Azure, AWS, and other cloud vendor products for SAP customers), SAP Analytics Cloud (SAC), SAP Datasphere/Data Warehousing Cloud, SAP Embedded Modeling.Certifications: SAP certifications in Analytics, SAC, Datasphere/DWC, or related areas are highly regarded.Skills:Profound expertise in SAP Analytics, SAP Analytics Suite (which includes native SAP products, Google, Azure, AWS, and other cloud vendor products for SAP customers), SAP Analytics Cloud (SAC), SAP Datasphere/Data Warehousing Cloud, SAP Embedded Modeling.Exceptional project management and leadership skills, capable of guiding teams through complex implementations.Excellent client engagement and communication skills, adept at establishing trust and acting as a strategic advisor.Strong capabilities in risk management, quality assurance, and change management.Travel required depending on the project.
This position offers a unique chance to make a significant impact on our clients' success and to contribute to the growth and prestige of Argano as a global leader in digital consultancy. If you are a seasoned expert in SAP Data & Analytics with a passion for digital transformation and a proven track record of delivering results, we invite you to join our dynamic team.

About Us

Argano is the first of its kind: a digital consultancy totally immersed in high-performance operations. We steward enterprises through ever-evolving markets, empowering them with transformative strategies and technologies to exceed customer expectations, unlock commercial innovation, and drive optimal efficiency and growth.

Argano is an equal-opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status., experience in the industries we serve, and to partner with diverse teams of passionate, enterprising SVBers, dedicated to an inclusive approach to helping them grow and succeed at every stage of their business.

Join us at SVB and be part of bringing our clients' world-changing ideas to life. At SVB, we have the opportunity to grow and collectively make an impact by supporting the innovative clients and communities SVB serves. We pride ourselves in having both a diverse client roster and an equally diverse and inclusive organization. And we work diligently to encourage all with different ways of thinking, different ways of working, and especially those traditionally underrepresented in technology and financial services, to apply.

Responsibilities

SVB’s Foreign Exchange business is one of the largest FX providers to the Innovation economy. We support the transactional and risk management needs of our fast-growing clients as they expand and do business internationally.

Located close to one of our Hubs in SF, NYC or Raleigh and reporting to the Managing Director of FX Strategy, this Business Data Analyst will be an integral part of the Product Strategy and Business Management team, supporting and driving the insights that will be used to formulate, drive and validate our strategic and business effectiveness.

 

You will take part in complex, multi-disciplinary projects to further enable the Product, Trading and Sales teams. You will be a fast learner who is comfortable in the weeds with analytics and data manipulation whilst developing the story for leadership.

This role would be a great fit for a creative, curious and energetic individual and offers the right candidate the opportunity to grow while creating significant business value by continuously improving business intelligence/reporting, processes, procedures, and workflow.

The ideal candidate will have 3-5 yrs experience in Financial Services or Fintech, preferably with FX, Trading or Cross Border Payment experience.

 

requirements.Become familiar with the evolving FX, Fintech and Banking landscape to overlay industry insights.Drive continued evolution of our business analytics/data framework in order to inform MI and product evaluation.Assist with maintenance and accuracy of company data within SVB’s data repositories.

Qualifications

Basic Requirements:

BS/BA Degree – preferably in a quantitative discipline (e.g., Economics, Mathematics, Statistics) or a HS Diploma or GED with equivalent work experience3-5 years’ experience in financial services or fintech, ideally within FX or Cross Border Payments

Preferred Requirements:

Strong attention to detail with an eye for data governance and compliance

Aptitude for framing business questions in analytic terms and translating requirements into useful datasets and analyses with actionable insights., experience, and job responsibilities, and does not encompass additional non-standard compensation (e.g., benefits, paid time off, per diem, etc.). Job Description:Work with Material Master product team to gather requirements, collect data, lead cleansing efforts and load/support data loads into SAP.Will need to bridge the gap between business and IT teams to document and set expectations of work/deliverables.Create and maintain trackers that show progress and hurdles to PM’s and stakeholders.Assist in go live of site including, collecting, cleansing and loading data into SAP system.Middleman between IT and business stakeholderAble to communicate data models.Knowledge in SAP and MDG is preferred.Years of experience: 2+ in data analytics spaceStrong communication skills are a must.Will be working on multiple high priority, high paced projects where attention to detail and organization is required.Intermediate to Senior position – great opportunity to learn an in-demand area of SAP MDG.Strong willingness to learn – no ceiling on learning and growth potential and plenty of work to go around. About BCforward:Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BCforward’s 6,000 consultants support more than 225 clients globally.BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to become a market leader and best in class place to work.BCforward is, source_sentence: data modeling, statistical analysis, data visualization tools
sentences: skills to translate the complexity of your work into tangible business goals 

The Ideal Candidate is

 Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.  Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.  Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.  A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.  Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.  Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.  A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. 

Basic Qualifications:

 Currently has, or is in the process of obtaining a Bachelor’s Degree plus 2 years of experience in data analytics, or currently has, or is in the process of obtaining Master’s Degree, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start dat  At least 1 year of experience in open source programming languages for large scale data analysis  At least 1 year of experience with machine learning  At least 1 year of experience with relational databases 

Preferred Qualifications:

 Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)  At least 1 year of experience working with AWS  At least 2 years’ experience in Python, PyTorch, Scala, or R  At least 2 years’ experience with machine learning  At least 2 years’ experience with SQL  At least 2 years' experience working with natural language processing 

Capital One will consider sponsoring a new qualified 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): $138,500 - $158,100 for Data Science Masters

San Francisco, California (Hybrid On-site): $146,700 - $167,500 for Data Science Masters

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)., experienced team that caters to niche skills demands for customers across various technologies and verticals.
 Role Description
 This is a full-time on-site role for a Data Engineer at Computer Data Concepts, Inc. The Data Engineer will be responsible for day-to-day tasks related to data engineering, data modeling, ETL (Extract Transform Load), data warehousing, and data analytics. The role requires expertise in handling and manipulating large datasets, designing and maintaining databases, and implementing efficient data processing systems.
 Qualifications
 Data Engineering skillsData Modeling skillsETL (Extract Transform Load) skillsData Warehousing skillsData Analytics skillsStrong analytical and problem-solving abilitiesProficiency in programming languages such as Python or SQLExperience with cloud-based data platforms like AWS or AzureKnowledge of data visualization tools like Tableau or PowerBIExcellent communication and teamwork skillsBachelor's degree in Computer Science, Data Science, or a related fieldRelevant certifications in data engineering or related areas, requirements.

 Qualifications
 
Strong analytical skills, with experience in data analysis and statistical techniquesProficiency in data modeling and data visualization toolsExcellent communication skills, with the ability to effectively convey insights to stakeholdersExperience in business analysis and requirements analysisProject management skillsDatabase administration knowledgeBackground in Data Analytics and StatisticsExperience with Big Data technologies like Hadoop, source_sentence: ETL development, data modelling, DBT framework
sentences: Qualifications
 Strong knowledge in Pattern Recognition and Neural NetworksProficiency in Computer Science and StatisticsExperience with Algorithms and Data StructuresHands-on experience in machine learning frameworks and librariesFamiliarity with cloud platforms and big data technologiesExcellent problem-solving and analytical skillsStrong programming skills in languages such as Python or RGood communication and collaboration skillsMaster's or PhD in Computer Science, Data Science, or a related field, skills as well as strong leadership qualities.

This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you.

Responsibilities

Design, develop, and evaluate large and complex predictive models and advanced algorithms Test hypotheses/models, analyze, and interpret resultsDevelop actionable insights and recommendationsDevelop and code complex software programs, algorithms, and automated processesUse evaluation, judgment, and interpretation to select right course of actionWork on problems of diverse scope where analysis of information requires evaluation of identifiable factorsProduce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasetsTransform data into charts, tables, or format that aids effective decision makingUtilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders Develop and maintain strong working relationships with team members, subject matter experts, and leadersLead moderate to large projects and initiativesModel best practices and ethical AIWorks with senior management on complex issuesAssist with the development and enhancement practices, procedures, and instructionsServe as technical resource for other team membersMentor lower levels


Qualifications

6+ years of experience with requisite competenciesFamiliar with analytical frameworks used to support the pricing of lending productsFamiliar with analytical models/analysis used to support credit card underwriting and account management underwriting policiesFamiliar using GitHub for documentation and code collaboration purposesComplete knowledge and full understanding of specializationStatistics, machine learning , data mining, data auditing, aggregation, reconciliation, and visualizationProgramming, data modeling, simulation, and advanced mathematics SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWSModel lifecycle executionTechnical writingData storytelling and technical presentation skillsResearch SkillsInterpersonal SkillsAdvanced knowledge of procedures, instructions and validation techniquesModel DevelopmentCommunicationCritical ThinkingCollaborate and Build RelationshipsInitiative with sound judgementTechnical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)Independent JudgmentProblem Solving (Identifies the constraints and risks)Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields


Desired Qualification(s)

Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering


Hours: Monday - Friday, 8:00AM - 4:30PM

Location: 820 Follin Lane, Vienna, VA 22180

About Us

You have goals, dreams, hobbies, and things you're passionate about—what's important to you is important to us. We're looking for people who not only want to do meaningful, challenging work, keep their skills sharp and move ahead, but who also take time for the things that matter to them—friends, family, and passions. And we're looking for team members who are passionate about our mission—making a difference in military members' and their families' lives. Together, we can make it happen. Don't take our word for it:

 Military Times 2022 Best for Vets Employers WayUp Top 100 Internship Programs Forbes® 2022 The Best Employers for New Grads Fortune Best Workplaces for Women Fortune 100 Best Companies to Work For® Computerworld® Best Places to Work in IT Ripplematch Campus Forward Award - Excellence in Early Career Hiring Fortune Best Place to Work for Financial and Insurance Services




Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team’s discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position

Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act., requirements and data mapping documents into a technical design.Develop, enhance, and maintain code following best practices and standards.Execute unit test plans and support regression/system testing.Debug and troubleshoot issues found during testing or production.Communicate project status, issues, and blockers with the team.Contribute to continuous improvement by identifying and addressing opportunities.
Qualifications / Skills:Minimum of 5 years of experience in ETL/ELT development within a Data Warehouse.Understanding of enterprise data warehousing best practices and standards.Familiarity with DBT framework.Comfortable with git fundamentals change management.Minimum of 5 years of experience in ETL development.Minimum of 5 years of experience writing SQL queries.Minimum of 2 years of experience with Python.Minimum of 3 years of cloud experience with AWS, Azure or Google.Experience in P&C Insurance or Financial Services Industry preferred.Understanding of data warehousing best practices and standards.Experience in software engineering, including designing and developing systems.
Education and/or Experience:Required knowledge & skills would typically be acquired through a bachelor’s degree in computer sciences or 5 or more years of related experience in ELT and/or Analytics Engineering, source_sentence: Data engineering, ETL workflows, cloud-based data solutions
sentences: Qualifications and Skills Education: Bachelor's degree in Computer Science or a related field. Experience: 5+ years in Software Engineering with a focus on Data Engineering. Technical Proficiency: Expertise in Python; familiarity with JavaScript and Java is beneficial. Proficient in SQL (Postgres, Presto/Trino dialects), ETL workflows, and workflow orchestration systems (e.g. Airflow, Prefect). Knowledge of modern data file formats (e.g. Parquet, Avro, ORC) and Python data tools (e.g. pandas, Dask, Ray). Cloud and Data Solutions: Experience in building cloud-based Data Warehouse/Data Lake solutions (AWS Athena, Redshift, Snowflake) and familiarity with AWS cloud services and infrastructure-as-code tools (CDK, Terraform). Communication Skills: Excellent communication and presentation skills, fluent in English. Work Authorization: Must be authorized to work in the US. 
Work Schedule Hybrid work schedule: Minimum 3 days per week in the San Francisco office (M/W/Th), with the option to work remotely 2 days per week. 
Salary Range: $165,000-$206,000 base depending on experience 
Bonus: Up to 20% annual performance bonus 
Generous benefits package: Fully paid healthcare, monthly reimbursements for gym, commuting, cell phone & home wifi., experience with Transformers
Need to be 8+ year's of work experience. 
We need a Data Scientist with demonstrated expertise in training and evaluating transformers such as BERT and its derivatives.
Required: Proficiency with Python, pyTorch, Linux, Docker, Kubernetes, Jupyter. Expertise in Deep Learning, Transformers, Natural Language Processing, Large Language Models
Preferred: Experience with genomics data, molecular genetics. Distributed computing tools like Ray, Dask, Spark, Experience with LLMs and PyTorch: Extensive experience with large language models and proficiency in PyTorch.Expertise in Parallel Training and GPU Cluster Management: Strong background in parallel training methods and managing large-scale training jobs on GPU clusters.Analytical and Problem-Solving Skills: Ability to address complex challenges in model training and optimization.Leadership and Mentorship Capabilities: Proven leadership in guiding projects and mentoring team members.Communication and Collaboration Skills: Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.Innovation and Continuous Learning: Passion for staying updated with the latest trends in AI and machine learning.

What We Offer

Market competitive and pay equity-focused compensation structure100% paid health insurance for employees with 90% coverage for dependentsAnnual lifestyle wallet for personal wellness, learning and development, and more!Lifetime maximum benefit for family forming and fertility benefitsDedicated mental health support for employees and eligible dependentsGenerous time away including company holidays, paid time off, sick time, parental leave, and more!Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$187,000—$220,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$165,000—$194,000 USD

Zone 3 (Lake Mary, FL)

$146,000—$172,000 USD

Click Here To Learn More About Robinhood’s Benefits.

We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review Robinhood's Privacy Policy please review the specific policy applicable to your country.
datasets: pfrenee/ai_alignment
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: 0.9801980257034302
name: Cosine Accuracy
verified: no, task: type: triplet
name: Triplet
dataset: name: ai job test
type: ai-job-test
metrics: type: cosine_accuracy
value: 0.9708737730979919
name: Cosine Accuracy
verified: no
Likes: 0 | All-time downloads: 25
Created: 2025-08-29 15:59:50