Crossover is the world's #1 source of full-time remote jobs. Our clients offer top-tier pay for top-tier talent. We're recruiting this role for our client, gt.school. Have you got what it takes? Are you ready to revolutionize education with the power of cutting-edge technology? We're seeking strategic problem solvers who thrive on developing and implementing innovative solutions and are eager to apply the power of generative AI to supercharge their work. Your consistent high performance and dedication will drive our mission to revolutionize education. At gt.school, we're on a mission to accelerate the pace of learning by 5-10X, harnessing the incredible potential of technology, algorithms, and generative AI. We are creating a platform where students can discover, explore, and learn at an unprecedented rate. You'll play a pivotal role in bringing this vision to life. You'll have the opportunity to build new tools and operational processes, as well as streamline existing workflows for maximum efficiency. But that's not all! At gt.school, we believe in your growth and development. You'll receive regular coaching and training from a team of global tech experts and operations professionals, ensuring your continuous improvement. We value collaboration and provide a supportive environment where you can meet with team members to work together on exciting projects. If you're eager for a role that combines research, strategy, product development, and data science in the ever-evolving realm of education and technology, seize the moment and apply below. Let's embark on this exhilarating journey together! What You Will Be Doing Engineering generative AI prompts in Python/JavaScript/JSON
Analyze AI outputs and iterate on prompts to reach desired outcomes
Leverage generative AI and technology to develop new educational tools, iterate on current products, and finetune AI training models
Research topics to support the product engineering team What You Won’t Be Doing Collecting data or performing administrative tasks - we have a junior operations analyst team to do this type of work.
Working on unimportant projects - you'll be tasked with projects that are mission-critical Senior Data Scientist Key Responsibilities Create technical functionalities that revolutionize the way education is delivered. Basic Requirements Excellent written and verbal English communication skills
Proficient in Python, R, JavaScript, or another OOP language
2+ years of work experience working in a technical field (science, technology, programming, financial services, data science, etc.)
Consistently able to work 40 hours per week, Monday through Friday, between 6AM and 6PM CST
Must be a proactive communicator who can effectively manage multiple priorities and stakeholders simultaneously About Gt.school GT School is an EdTech Startup that leverages technology, AI, and subject matter experts to cultivate a new way of learning. Our unique approach leverages 50+ years of learning science, cutting-edge data analytics and high-performance coaching. In doing so, we can help students learn more, learn faster, and learn better - and have fun while doing it. We are a remote-first company that hires globally via Crossover. There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you! Working with Crossover This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover. The compensation level for this role is $30 USD/hour, which equates to $60,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic. What to expect next: You will receive an email with a link to start your self-paced, online job application.
Our hiring platform will guide you through a series of online “screening” assessments to check for basic job fit, job-related skills, and finally a few real-world job-specific assignments. Important! If you do not receive an email from us: First, emails may take up to 15 minutes to send, refresh and check again.
Second, check your spam and junk folders for an email from Crossover.com, mark as “Not Spam” since you will receive other emails as well.
Third, we will send to whatever email account you indicated on the Apply form - by default, that is the email address you use as your LinkedIn username and it might be different than the one you have already checked.
If all else fails, just reset your password by visiting https://www.crossover.com/auth/password-recovery if you already applied using LinkedIn EasyApply. Crossover Job Code: LJ-4880-US-Boulder-SeniorDataScie.013 #J-18808-Ljbffr

WHO WE ARE: TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who's who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes. We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes. In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions. OUR VALUES: Go with your GUT <ul> <li>Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. </li><li>Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully. </li><li>I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together. </li></ul>WHAT YOU'LL BE DOING: A division of TIFIN, Sage is a generative AI investment assistant that acts as a personalized CIO (Chief Investment Officer), providing advisors with actionable, personalized investment advice for their clients. Sage offers an AI-powered intelligence engine and natural language assistant that organizes client account data and utilizes advisor inputs to provide actionable answers based on natural language prompts. Financial advisors and wealth enterprises can plug this interface into their existing technology stacks and workstations and receive conversational responses that enable wealth managers to approach client communication, investment questions, and provide actionable insights quickly and with confidence. This product is developed in partnership with a premier private bank as a day-one client. We are seeking a Senior LLM Data Scientist for Sage with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models. We are looking for a creative thinker who can be hands-on with the scale-up phase. The ideal candidate is passionate about Generative AI and LLM and their application in the investment space. You must be a motivated and tenacious self-starter who is comfortable interpreting technology requirements, based on business requirements, and implementing them with maximum impact on the users. You will be expected to develop technology that minimizes technical debt while maximizing the customer experience. This is a high-impact role on a lean team that is results-and execution-oriented. We are a team of do-ers! THE ROLE: <ul> <li>Design and fine-tune open source and proprietary LLMs for various tasks such as answering questions, summarization, reasoning and planning, etc. </li><li>Build advanced Retrieval Augmented Generation (RAG) pipeline including rewriting, embedding fine-tuning, hybrid search, reranking, knowledge graphs, etc. </li><li>Implement a comprehensive evaluation framework and metrics for model performance </li><li>Deploy models into production environments and ensure low latency, reliability, and scalability. </li> <li>Collaborate with product team and software engineering team to build end-to-end product systems. </li></ul>WHO YOU ARE: <ul> <li>Ph.D./Masters/Bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field </li> <li>Experienced in the field of NLP/LLM and well-versed with the current and latest state-of-the-art research </li> <li>Hands-on experience in various LLM fine-tuning techniques (e.g. LORA), LLM inference frameworks (e.g. vLLM), advanced RAG pipelines </li><li>Excellent knowledge of LLM evaluation methods and metrics </li><li>2+ years of practical experience in the development of generative AI applications </li> <li>Experience using machine learning/deep learning frameworks such as TensorFlow and/ or PyTorch </li> <li>Proficient in Python and SQL </li> <li>Analytical and problem-solving skills </li><li>Ability to visualize data in the most effective way possible for a given project or study </li><li>Thrives in a highly demanding, entrepreneurial, and fast-paced environment </li><li>Is a top performer and has a proactive, "doer", and problem-solver mentality </li> <li>Is highly flexible, has a good tolerance for ambiguity, and can quickly adapt to changing priorities </li><li>Is an exceptional team player with solid communication skills </li></ul>COMPENSATION AND BENEFITS PACKAGE: For Colorado Applicants: The expected starting salary range for this position in Colorado is between $150,000 - $190,000. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. The position is also eligible for incentive compensation as well as client acquisition bonus program. TIFIN offers a competitive benefits package that includes: <ul> <li>Performance linked variable compensation, including equity </li><li>Medical, dental, vision, life and disability insurance </li><li>Flexible Spending Account (FSA) and Health Savings Account (HSA) </li><li>401(k) Retirement Plan </li><li>Flexible PTO policy and Company-paid holidays </li><li>Parental Leave: 12 week paid maternity, 4 week paid paternity leave </li><li>Corporate Social Responsibility and volunteering opportunities </li><li>Access to our Chief Mindfulness Officer, including 1:1 personal coaching for executives and rising stars </li><li>Company sponsored events like Qi Gong, Lunch & Learns, Development Workshops, Dinners, Happy Hours, and more! </li><li>The ability to make a real impact in an incredibly fast-growing organization </li></ul> A note on location. While we have team centers in New York City, San Francisco, Charlotte, and Mumbai, TIFIN is headquartered in Boulder, CO and our preference is to build the team here whenever possible, so relocation packages are available for any candidate willing to relocate to the Boulder area. TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

WHO WE ARE: TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who's who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes. We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes. In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions. OUR VALUES: Go with your GUT <ul> <li>Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. </li><li>Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully. </li><li>I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together. </li></ul>WHAT YOU'LL BE DOING: A division of TIFIN, Sage is a generative AI investment assistant that acts as a personalized CIO (Chief Investment Officer), providing advisors with actionable, personalized investment advice for their clients. Sage offers an AI-powered intelligence engine and natural language assistant that organizes client account data and utilizes advisor inputs to provide actionable answers based on natural language prompts. Financial advisors and wealth enterprises can plug this interface into their existing technology stacks and workstations and receive conversational responses that enable wealth managers to approach client communication, investment questions, and provide actionable insights quickly and with confidence. This product is developed in partnership with a premier private bank as a day-one client. We are seeking a Staff LLM Data Scientist for Sage with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models. We are looking for a creative thinker who can be hands-on with the scale-up phase. The ideal candidate is passionate about Generative AI and LLM and their application in the investment space. You must be a motivated and tenacious self-starter who is comfortable interpreting technology requirements, based on business requirements, and implementing them with maximum impact on the users. You will be expected to develop technology that minimizes technical debt while maximizing the customer experience. This is a high-impact role on a lean team that is results-and execution-oriented. We are a team of do-ers! THE ROLE: <ul> <li>Design and fine-tune open source and proprietary LLMs for various tasks such as answering questions, summarization, reasoning and planning, etc. </li><li>Build advanced Retrieval Augmented Generation (RAG) pipeline including rewriting, embedding fine-tuning, hybrid search, reranking, knowledge graphs, etc. </li><li>Implement a comprehensive evaluation framework and metrics for model performance </li><li>Deploy models into production environments and ensure low latency, reliability, and scalability. </li> <li>Collaborate with product team and software engineering team to build end-to-end product systems. </li></ul>WHO YOU ARE: <ul> <li>Ph.D./Masters/Bachelor's degree in computer science, mathematics, statistics, engineering, or relevant field </li> <li>Experienced in the field of NLP/LLM and well-versed with the current and latest state-of-the-art research </li> <li>Hands-on experience in various LLM fine-tuning techniques (e.g. LORA), LLM inference frameworks (e.g. vLLM), advanced RAG pipelines </li><li>Excellent knowledge of LLM evaluation methods and metrics </li><li>5-6 years of machine learning/deep learning experience within frameworks such as TensorFlow and/or PyTorch </li><li>2+ years of practical experience in the development of generative AI applications </li> <li>Publications at reputable machine learning conference or journal </li><li>Proficient in Python and SQL </li> <li>Analytical and problem-solving skills </li><li>Ability to visualize data in the most effective way possible for a given project or study </li><li>Thrives in a highly demanding, entrepreneurial, and fast-paced environment </li><li>Is a top performer and has a proactive, "doer", and problem-solver mentality </li> <li>Is highly flexible, has a good tolerance for ambiguity, and can quickly adapt to changing priorities </li><li>Is an exceptional team player with solid communication skills </li></ul>COMPENSATION AND BENEFITS PACKAGE: For Colorado Applicants: The expected starting salary range for this position in Colorado is between $190,000 - $225,000. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. The position is also eligible for incentive compensation as well as client acquisition bonus program. TIFIN offers a competitive benefits package that includes: <ul> <li>Performance linked variable compensation, including equity </li><li>Medical, dental, vision, life and disability insurance </li><li>Flexible Spending Account (FSA) and Health Savings Account (HSA) </li><li>401(k) Retirement Plan </li><li>Flexible PTO policy and Company-paid holidays </li><li>Parental Leave: 12 week paid maternity, 4 week paid paternity leave </li><li>Corporate Social Responsibility and volunteering opportunities </li><li>Access to our Chief Mindfulness Officer, including 1:1 personal coaching for executives and rising stars </li><li>Company sponsored events like Qi Gong, Lunch & Learns, Development Workshops, Dinners, Happy Hours, and more! </li><li>The ability to make a real impact in an incredibly fast-growing organization </li></ul> A note on location. While we have team centers in New York City, San Francisco, Charlotte, and Mumbai, TIFIN is headquartered in Boulder, CO and our preference is to build the team here whenever possible, so relocation packages are available for any candidate willing to relocate to the Boulder area. TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally-connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small-medium-sized workplaces globally. About The Role Our team is responsible for developing algorithms that run in our real time bidding platform with the ultimate goal of helping thousands of customers run effective advertising campaigns. Many of our problems involve getting deep learning algorithms to train and inference at scale. Some of the challenges include sparse and/or noisy labels and data, large output space (thousands of labels), millisecond latency requirements, high QPS requirements (thousands or millions per second), and unreliable ground truth. Data scientists on our team work closely with engineering throughout the lifecycle of the product, from ideation to productionalization and monitoring. Our data scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients. We are a team built on a foundation of generosity and openness, and we expect our data scientists to help make others better and raise the bar for those around them. As a Staff Data Scientist, you will contribute meaningfully through leading others. Who We Are Looking For You have a sustained track record of making significant,self-directed, and end-to-end contributions to complex, multi-layered, impactful machine learning
You think beyond just the task at hand to deeply understand the 'why' behind what you are doing and anticipate problems that may be several degrees removed from obvious requirements.
You make your team better by proactively advocating for and driving improvements not just to what the team produces, but also the ways in which the team works.
You have a strong sense ofdata intuition. At our scale, many off-the-shelf modeling techniques (open source and enterprise) simply don't work. You are able to work from first principles to develop solutions and adapt them to a unique environment.
You are a broadly skilled data scientist with deep expertise working with embedded models in always-onproduction systems and working across a variety of technologies and data sources.
You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.
You work with confidence and without ego. Our data scientists have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying andevaluating trade-offs, willing to be proven wrong, and quick to support your fellow teammates.
You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be skilled at finding and building from common ground.
You are a creative thinker, not bound by "the way things have always been done." What you know is less important than how well you learn and innovate. We don't need data scientists who know all the answers; we need data scientists who can invent the answers no one has thought of yet, to the questions yet to be asked.
You have an abundance of intellectual curiosity and are enthusiastic to learn (and teach) new technologies / techniques.
You are you comfortable working on an agile, distributed team spanning multiple time zones and continents.
You are able to communicate effectively across both technical and non-technical audiences. What You Bring To The Table We do not expect you to know every technology we use when you start at TTD. What we care most about is that you can learn quickly and solve complex problems using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience: BS/MS with 4+ years or a PhD with 8+ years of experience working in a DS or ML role that involves bringing products from ideation to production.
Experience in deep learning, TensorFlow preferred.
Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets is preferred
Proficient in at least two of: R,Python, Java, or Expert at one of those. Strong SQL skills.
Proficient in software engineering concepts like containerization and version control is preferred. The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. [LA JOBS ONLY] The Trade Desk will consider qualified applicants with criminal histories for employment in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring, Ordinance No. 184652. [SF JOBS ONLY] Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. NY, CO, CA, and WA residents only: In accordance with NY, CO, CA, and WA law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more. Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $121,500—$222,800 USD
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Data Scientist Jobs in Boulder, CO

Senior Data Scientist Gtschool Remote 60000Year UsdJuly 24, 2024

Senior Llm Data Scientist SageJuly 24, 2024

Staff Llm Data Scientist SageJuly 24, 2024

Data Scientist Distributed Algorithms Trading IntelligenceJuly 24, 2024

Senior Llm Data Scientist SageJuly 16, 2024

Data Scientist RemoteJuly 13, 2024

Senior Data Scientist Manager ProductJuly 12, 2024

Senior Data Scientist Gtschool Remote 60000Year UsdJuly 11, 2024

Senior Data Scientist Manager ProductJuly 3, 2024