Intelletec helps startups grow to their full potential, without having to worry about their hiring needs.  So what makes us different? 

1. Being right at the forefront of the industry and keeping abreast of new industries and technologies makes us stand out from the crowd.

2.  Intelletec works with VC, Angels and other industry leaders and has formed close relationships that are based on trust. 80% of our business comes from referrals!

3. All of our consultants were brought up in the new era of technology and social media, therefore we are all passionate in what we do

4. We get a real buzz helping to shape engineering teams from scratch and knowing that we can make a big difference to the success of any company we help out.

5. Being small has its pro's, most importantly being FLEXIBLE which is crucial (in the startup world). Large recruitment agencies tend to fall short of this. 

6. We now have an office in Los Angeles and a team in New York allowing us to cover more of the globe.  With two dedicated USA based teams we are still able to give all our clients a personal and bespoke service. 

To find out more about the exciting journey Intelletec are going on visit our website www.intelletec.com

Intelletec

Vice President, Data Science Recruitment

Director, Data Science Recruitment

Intelletec is a specialist boutique recruitment agency tailored to meet our clients needs with a strong focus on Data Science and Analytics. Our aim is to help our clients meet their staffing goals, reduce position downtime and minimize output downfall, through finding the right people, quickly. 
 
We offer a modern recruitment solution for today’s top companies, which allows our clients to sustain growth and profitability, putting us a cut above our competitors. With offices based in London, Los Angeles, and New York, we are able to respond to client demand globally while still keeping our service personal and tailored to our clients needs.

Managing Consultant, Data Science Recruitment

Huntress Partners

Huntress Partners is a national boutique recruiting firm passionate about making clients a priority. Huntress Partners recruits full time permanent talent across industries within Analytics and Data Science.

Managing Partner

Since 1980, ANALYTIC has been a leader in contingent and retained staffing of both permanent and contract roles that require advanced quantitative and technology-driven skills. We specialize in sourcing top talent in AI, Data Science, Quantitative Analytics, and IT.

Our nationwide practice focuses on connecting professionals with quantitative roles across diverse industries, including:

o	Data Science and AI
o	Data Analysis
o      Decision Sciences
o	Alternative Data Research
o	Asset Management
o	Consumer and Commercial Risk Management
o      Pharmaceutical and Life Sciences 
o	Capital Markets
o	Marketing and Digital Analytics
o	Quantitative Research
o	Technology
o	Structured Products
o	Investment Portfolio Management
o	Fixed Income and Equity Risk Management
o	Private Equity and Hedge Funds
o	High-Frequency Trading
o	Product Control and Valuation
o	Statistical Analysis
o	Business Intelligence
o	Operations Research
o	Supply Chain Management

For over four decades, we’ve built a reputation for delivering exceptional talent solutions to meet the evolving needs of businesses across the nation.

Please visit our website for more information at www.analyticrecruiting.com.

Analytic Recruiting Inc.

Specialized in placing candidates with strong quantitative and analytical skills. Worked nationwide and across all industries in building teams that emphasize superior analytical talent in business decision making.

Senior Executive Recruiter

Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress. Our core activities are safeguarding assets, lending money, making

Citi

Assisted senior executives and portfolio managers in developing mutual fund marketing materials for distribution. Implemented new business development strategies designed to target new clients.

Asset Management

Jamie Voronkov Bernard

Jamie Bernard

Founding Revenue Operations Product Lead at Legion Health. Must excel in CPT codes, insurance verification, payer billing, tech integration in revenue cycles, mental health digital health experience, product development, telemedicine startups. Remote with visa sponsorship. Salary $65k-$150k. Drive tech-driven revenue cycle, compliance, team leadership. Data-driven process improvements.

Nathan Wilde

Talayia Gulotta, CRCR

Chris Simpson

Pamela (PD) D.

Legion Health is a pioneering telepsychiatry company dedicated to transforming patient care through advanced technology. We leverage cutting-edge language models and robust data analytics to enhance our patient-provider interactions, improve access to mental health services, and streamline our clinical operations.Our mission is to integrate innovative AI solutions into every facet of psychiatric care, ensuring providers and patients benefit from the most effective and efficient treatment strategies.We're backed by Y Combinator and the world’s best VC firms and angels such as Erica Johnson, co-founder of Modern Health; Ravi Shah, chief innovation officer of Columbia Psychiatry; Jeffrey Leerink, CEO of SVB Leerink; Robert Musslewhite, president of Definitive Healthcare; and Jay Desai, former CEO and founder of PatientPing, UpHonest Capital, and Soma Capital.

Co-Founder and CEO

Legion Health

As the Founding Revenue Operations Product Lead, you will be responsible for establishing, optimizing, and scaling our revenue cycle operations with a strong focus on leveraging technology and product innovation. You’ll work closely with leadership, finance, and product teams to drive operational excellence, tech-driven improvements, and financial performance. Your role will directly impact the company's revenue growth, ensuring seamless integration of AI, product innovations, and data-driven operations into our revenue cycle processes.

Founding Revenue Operations Product Lead

Senior Data Analyst in NYC, hybrid. Strong SQL, dbt, Looker skills essential. Work with cross-functional teams, create dashboards, reports; ensure data accuracy. Experience in healthcare, startups preferred. No visa sponsorship. Salary $100K-$145K. 15% travel to NYC and Jacksonville, FL.

Taoyang G.

Hayden Tutty

Bradley Silk

Empassion is a Management Services Organization (MSO) focused on improving the quality of care and costs on an often neglected “Advanced illness/ end of life” patient population, representing 4 percent of the Medicare population but 25 percent of its costs. The impact is driven deeper by families who are left with minimal options and decreased time with their loved ones. Empassion enables increased access to tech-enabled proactive care while delivering superior outcomes for patients, their communities, the healthcare system, families, and society.

Empassion Health

What your experience will be likeThe Data &amp; Analytics team is a high-impact, high-visibility team that works cross-functionally with the entire organization. We are creating a robust, flexible, and modern analytics platform that is core to delivering the company’s technology and service capabilities. The Senior Data Analyst will work alongside a team of experienced Analytics Engineers and Data Analysts to build out and maintain robust data pipelines and analytics solutions to better understand our patient population using a combination of SQL, dbt, and Looker. They will partner closely with our Growth, Product-Dev, Ops, and Finance teams to deliver explanatory and actionable insights as we work to improve the care our patients receive.Why you belong here and how you will growThis is a hybrid NYC based opportunity to support the buildout of Empassion’s analytics platform and to be part of a passionate, skilled, and committed team working together to realize our shared vision. We pride ourselves on providing accurate, timely, and actionable data to our internal and external users. We hold ourselves to a high standard that respects the impact our data and analytics can have on a patient’s course of care.&nbsp;The Data &amp; Analytics team is composed of specialists who can flex across different types of work as needed. The Data Analyst will be designing and building analytics models, reports, and dashboards to enable and empower Empassion and our customers to better understand their patients. We strive to build sustainable data products that our users can operate themselves day-to-day, but are highly responsive when the business has additional data needs and questions.

Senior Data Analyst

Build machine learning systems for AI-driven capital allocation. Must have strong AI idea generation history, exceptional engineering skills, top school background (Stanford, CMU, Harvard), and fluency in English. Located in San Francisco, hybrid work model, visa sponsorship available. Salary: $150K-$250K.

Umang Gupta

Nicholas Liu

Mana is a research lab building an artificially intelligent investor. We sell contracts to financial firms, private equity and wealth management firms, as well as VCs. We help any firm looking to optimize their workflows with AI. We are semi in stealth, but typically have very large contracts right.As we build, we are paving a path to what we hope will lead to a future with AI/automated investing.

Co-Founder & CEO

Mana

You will build the machine learning systems that power our general artificial intelligence for capital allocation. We are looking for researchers who want to discover elegant deep learning concepts and then put them into production as solutions to high-stakes, real-world problems.

Applied AI Researcher

Visa sponsorship available to exceptional candidates that don't have work rights in the US

Data Scientist: Python proficiency (Pandas, NumPy, etc.), strong ETL/data engineering (dbt, Airflow), modern data visualization, cloud infra experience. Focus on marketing analytics, productionizing ML models, identity resolution. Remote, visa sponsorship available. Salary: $160k-$210k. Collaborate with product teams, drive growth insights into Primer's platform.

Arjun Reddy Toom

### **Martech fragmentation and saturation has gone too far.**

Our world is flooded with data.
‍
In a perfect world, more data would mean better markets. Products would easily reach the customers that most need them. Buyers would get less spam and find more high-value solutions.

But our world is far from perfect.

Hamstrung by limited ad platforms and an increasingly fragmented yet siloed world of martech tools, GTM teams are forced to jerry-rig their way into scaling a growth engine. They spend hours stitching together data and tools and wasting millions on spray-and-pray campaigns. We think that’s crazy. That’s why we built Primer.

 Primer

We’re looking for a Data Scientist who has built and run marketing/growth analytics at companies like Shopify, OpenStore, Wish, OpenDoor, etc. —someone who understands what drives marketing performance and can translate that knowledge into a product. Your work won’t be about one-off dashboards or internal tools. It will be about baking high-impact growth insights directly into Primer’s platform so our customers can make better decisions at scale.This means two things:<ol><li>Deep expertise in growth &amp; performance marketing analytics – You’ve worked on problems like:<ul><li>When should performance marketers rotate creative due to ad fatigue?</li><li>What are the most successful campaigns, and how should they be optimized?</li><li>When should we use email vs. paid ads, and how should incentives be structured?</li><li>How do we detect underperforming segments before they become a problem?</li><li>How do we build the right data pipelines to answer these questions in real time?</li></ul></li><li>Strong experience in productionizing models &amp; algorithms – This isn’t an internal data role. The models you build will be a core part of Primer’s product experience. You’ll take insights and models from 0 to 1—working with messy data, developing robust models, and deploying them into a production environment used by our customers.</li></ol>But this role isn’t just about marketing analytics—you’ll also work closely with our Audiences &amp; Data team to improve data acquisition, delivery, and match rates. This means taking on challenges like:<ul><li>How do we increase data acceptance and match rates in platforms like LinkedIn and Google Ads?</li><li>How do we source and integrate new data types to expand Primer’s dataset?</li><li>How do we use deterministic and probabilistic methods to improve identity resolution and first-party data integration?</li></ul>If you love taking raw, messy data and turning it into high-leverage insights that impact strategy, this role is for you.

Data Scientist

Small in-person in SF, but most of team is remote, tend to skew towards east coast time zones

Controller at Meter, San Francisco. Key: Systems-oriented, operational accounting background, high-growth hardware+software Series B-D/E experience. Build financial infrastructure from scratch, lead first audit, engage cross-functional stakeholders. On-site, no visa sponsorship. Salary: $160k-$220k. Ground-floor opportunity to shape and scale financial operations over 5 years.

Lynette M.

Internet is ubiquitous, but internet infrastructure is painful. Market dynamics to date have created a fractured industry with misaligned incentives, high friction and inefficient spend.We believe there is an opportunity to create a vertically integrated infrastructure provider that combines hardware, software and operations to align incentives, remove friction and lower costs. The scale of this ambition is immense - if we do not fully transform a market with hundreds of billions of revenue, we will fail.We are pursuing this with an incredible team of operators in pursuit of the biggest impact of their career, with the backing of long term investors excited by the industry transformation we can achieve (Sequoia, Sam Altman, Lachy Groom).We’re looking for people who are excited to work on interesting problems, enjoy learning from and helping each other, and above all, are kind and ambitious. We’re building for the long term, and we’re just getting started.See intro blog <a target="_blank" rel="noopener noreferrer" href="https://www.meter.com/what-is-meter">here</a>.

Meter

Meter is taking a vertically integrated approach to provide services to a massive and fragmented market with several stakeholders and mechanisms by which we can deliver that product.&nbsp;For us to accomplish this, we need to rely upon an incredibly robust, efficient and scalable financial infrastructure in order to manage the operations of our business most effectively.&nbsp;Our controller is at the core of that, and they are responsible for all efficient and effective transactions with all stakeholders across company, whether it be investors, capital providers, customers, employees, vendors.&nbsp;And we need a controller who can come in and help from the ground up, build a financial infrastructure to enable the accounting and financial operations function to thrive as we grow in scale over the course of the next 5 years.&nbsp;We need someone who will thrive on the opportunity to build the financial backbone of a vertically integrated provider of multiple services, through a globally distributed team, with a creative capital structure, that can scale with efficiency and rigor.

Controller

This role is based out of our San Francisco HQ office.

Customer-Facing Machine Learning Engineer in Menlo Park, CA. On-site/Remote, Visa sponsorship available. Requires 3+ years deep learning in production, 2+ years customer-facing experience, strong ML/AI skills. Work with enterprise clients to develop LLM solutions using Lamini platform. Blend technical expertise with customer collaboration. $150K-$200K salary range.

Ming-Hao Yu

Lamini makes it possible for enterprises to turn proprietary data into the next generation of LLM capabilities, by offering a platform for in-house software teams to uplevel to OpenAI-level AI teams and to build within the security of their existing infrastructure.

Lamini

Lamini enables every enterprise to safely, quickly, and cost-effectively build their own Expert AI. Our customers own their own models, trained on their data. Lamini optimizes for Expert AI workloads with minimal hallucination, enterprise-grade security, and enterprise flexibility, running on any infrastructure. Our team is made up of highly committed engineers, researchers, and tech industry veterans excited by mission and technology. We’re backed by leading VCs as well as computing and technology companies.As a Customer-Facing Machine Learning Engineer, you’ll work directly with enterprise customers to leverage Lamini platform to develop and deploy LLM solutions that drive business value. This role blends technical expertise, customer collaboration, and problem-solving to ensure customers achieve maximum benefit from our platform. You will play a pivotal role in bridging the gap between our engineering team and customers, providing technical support, gathering feedback, and leading implementation efforts.

Machine Learning Engineer - Customer Facing

Can sponsor TN, H1B, H1B Transfer, visa renewals

Backend developer sought for Ender to build scalable APIs in real estate ERP. Must have Java on AWS, concurrent coding, debugging skills, and curiosity about real estate. Startup experience preferred. Austin-based, in-office 5 days/week or remote, visa sponsorship available. Salary: $60k-$150k.

Charles (CJ) Werder

Unlock Your Data. Real estate data is stuck in silos. Ender is the first fully integrated real estate ERP system, allowing for AI applications and automation of workflows.

Ender

Help our Backend team at Ender build robust and scalable APIs. We’re looking for a backend developer who will be a key member of our tight-knit team. You will be responsible for building Services &amp; APIs by writing code that is clean, minimal, and easy to understand. A typical day involves working with Frontend, Design, and Product teams to solve issues that are massively scalable. Our software is used by property investors, vendors, tenants, and our operations team. Join us to solve fundamental problems in real estate sales, leasing, accounting, and maintenance coordination.We're looking for someone who<ul><li>Loves clear, concise, readable code</li><li>Obsesses over continuous personal and technical improvement</li><li>Strikes the optimal balance between rigor and velocity</li><li>Offers multiple solutions and chooses the most appropriate</li><li>Crafts solutions from both full specs and loosely-defined requirements</li><li>Has empathy, a collaborative spirit, and the ability to think like a user</li><li>Has a startup mentality: ready to solve big problems with a small team</li><li>Has a strong work ethic</li></ul>

Backend Engineer

Help our Backend team at Ender build robust and scalable APIs.

We’re looking for a backend developer who will be a key member of our tight-knit team. You will be responsible for building Services & APIs by writing code that is clean, minimal, and easy to understand.

A typical day involves working with Frontend, Design, and Product teams to solve issues that are massively scalable. Our software is used by property investors, vendors, tenants, and our operations team.

Join us to solve fundamental problems in real estate sales, leasing, accounting, and maintenance coordination.

We're looking for someone who

- Loves clear, concise, readable code
- Obsesses over continuous personal and technical improvement
- Strikes the optimal balance between rigor and velocity
- Offers multiple solutions and chooses the most appropriate
- Crafts solutions from both full specs and loosely-defined requirements
- Has empathy, a collaborative spirit, and the ability to think like a user
- Has a startup mentality: ready to solve big problems with a small team
- Has a strong work ethic

Requirements 

- Extensive knowledge of data structures and algorithms
- Experience debugging code, solving problems, and fixing performance bottlenecks
- Ability to write concurrent code that utilizes our multi-core servers

Stack and Tech Culture

- Java, React, CSS, MySQL, AWS
- Github peer reviews, Jira, Slack
- In-person and remote whiteboarding when team members are away from Austin
- Avoid premature optimization: simple, fast solutions



In-person in Austin, TX (Junior) or Remote for Mid & S1

Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?

Exa finds the exact content you're looking for on the web using embeddings-based search.

Exa has three core functionalities, surfaced through our API endpoints:

- Search for pages Find any pages on the web using a natural language query. If you still need it, Exa supports also supports Google-style keyword search.

- Get contents from pages Obtain clean, up-to-date, parsed HTML from Exa search results. Contents can be semantically targeted using our 'highlights' feature.

Find similar pages Based on a link, find and return pages that are similar in meaning.

- Exa's precise content retrieval supercharges RAG pipelines, automates hours of research, and creates high-quality datasets for a niche use-case.

Exa was built with a simple goal — to organize all knowledge. After several years of heads-down research, we developed novel representation learning techniques and crawling infrastructure so that LLMs can intelligently find relevant information.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?

ML Research Engineer

ML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-Site	APPLY FOR THIS JOBML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-SiteML Research EngineerSan Francisco, CaliforniaEngineering /Full-Time /On-SiteSan Francisco, CaliforniaEngineering /Full-Time /On-SiteAPPLY FOR THIS JOBAPPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBTransformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.Transformers feel magical -- they understand text at near-human level. Yet traditional search engines (cough, Google) don't feel magical -- they don't understand text at near-human level. It doesn't have to be this way.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.At Exa, we're training foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Search is a unique research problem within generative AI -- instead of generating a single piece of text, search involves asking the same questions about billions of texts.No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?No other AI lab is exploring this direction. That means if we don't find novel methods for search, they won't be found. Our team has already made breakthroughs not seen in the literature, and we have more coming. Want to explore the search frontier with us?Desired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldDesired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldDesired ExperienceYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldYou have graduate-level ML experience (or are an exceptionally strong undergrad)You can code up a transformer from scratch in pytorchYou're comfortable creating large-scale datasetsCare about the problem of finding high quality knowledge and recognize how important this is for the worldExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreExample ProjectsTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top scoreTrain a 70B parameter version of our current modelBuild an RLAIF pipeline for searchDream up a novel architecture for search in the shower, then code it up and beat our best model's top score$130,000 - $200,000 a year$130,000 - $200,000 a yearWe are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)We are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)APPLY FOR THIS JOBAPPLY FOR THIS JOBExa Labs Inc. 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We are open to sponsoring International candidates (e.g STEM OPT, OPT, H1B, O1, E3)

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