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

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 staffing permanent and contract roles that utilize quantitative and technology related skills. We specialize in filling roles that require AI, Data Science, Analytic and IT talent. Our practice is nationwide and focuses on quantitative positions in Data Science and AI, Data Analysis, Consumer and Commercial Risk Management, Capital Markets, Marketing Analytics, Digital Analytics, Quantitative Research, Technology, Structured Products, Investment Portfolio Management, High Frequency Trading, Product Control and Valuation, Statistical Analysis, Business Intelligence, Operations Research, Supply Chain Management, Decision Sciences and more. 

We work across ALL industries and major business functions with clients that span Fortune 100 corporations to startups. We recruit at all levels from entry level to senior executives. We work closely with our clients and are very deliberate in matching skills, career goals and positions. 

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

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. Requires expertise in CPT codes, insurance verification, mental health digital health, tech integration, telemedicine startup experience. Remote, visa sponsorship available. Oversee revenue cycle, integrate AI, collaborate with product teams, drive collections to 95%, ensure compliance, lead cross-functional team. Salary $65K-$150K.

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

Backend developer at Ender. Extensive data structures/algorithms, concurrent code for multi-core servers, Java on AWS. Debugging, problem-solving, performance fixing. Collaborate with Frontend, Design, Product. On-site Austin or remote. Visa sponsorship available. Focus: real estate API development. 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

Nicholas Liu

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)

San Francisco-based Mana seeks exceptional engineers for building machine learning systems for AI-driven capital allocation. Must have top school credentials (e.g., Stanford, MIT), proven engineering skills, AI innovation history, and startup fit. Hybrid work, visa sponsorship available. Salary: $150k-$250k. Enthusiasm for Mana's mission essential.

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

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