Applied Data Scientist, Thread AI

$160-200k

+ Equity

SQL
AWS
Docker
Kubernetes
GCP
Python
Airflow
Azure
Spark
Luigi
Flink
Senior level
New York
Thread AI

Building the next phase of critical AI infrastructure

Be an early applicant

Thread AI

Building the next phase of critical AI infrastructure

1-20 employees

B2BArtificial IntelligenceEnterpriseSaaS

Be an early applicant

$160-200k

+ Equity

SQL
AWS
Docker
Kubernetes
GCP
Python
Airflow
Azure
Spark
Luigi
Flink
Senior level
New York

1-20 employees

B2BArtificial IntelligenceEnterpriseSaaS

Company mission

To make infrastructure simple for enterprises and public sector agencies seeking to get the most from AI.

Role

Who you are

  • This role will require a combination of technical expertise in data engineering, proficiency in programming languages and tools, and the ability to collaborate effectively with cross-functional teams
  • 5+ years of experience in building, evaluating, and deploying machine learning and artificial intelligence models into production environments
  • Proven experience in data engineering, ETL development, and building data pipelines in production environments
  • Proficiency in programming languages such as Python and experience with data processing frameworks like Apache Spark or Flink
  • Strong understanding of database systems, data warehousing concepts, and cloud platforms such as AWS, GCP, or Azure
  • Skilled in SQL, with extensive experience extracting large datasets and designing ETL workflows
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes) and workflow orchestration tools (e.g., Airflow, Luigi)
  • Comfortable working with a wide variety of data including unstructured data and high-volume real-time sensor data
  • Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced, collaborative environment
  • Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders

What the job involves

  • Thread AI is focused on building an AI-native workflow orchestration engine looking for dedicated individuals to join its growing team
  • Our goal is to make infrastructure simple for enterprises and public sector agencies seeking to get the most from AI
  • Headquartered in New York, our growing team is a group of AI, product, and engineering experts, who have a track record of creating and executing against complex workflows and infrastructure
  • We're a small and committed technical team that oversees engineering, research, design, product, and operations
  • We are looking for a skilled Applied Data Scientist with a strong foundation in data engineering principles to play a key role in developing and implementing data-driven solutions
  • A successful candidate will be responsible for designing, building, and maintaining robust data pipelines, optimizing data workflows, and ensuring the reliability and scalability of our data infrastructure

Our take

Thread AI is transforming enterprise AI integration with its compostable infrastructure platform, Lemma. This platform streamlines the building and management of AI workflows by connecting disparate systems, allowing organizations to automate crucial tasks while accommodating essential constraints like cost and human oversight.

The need for Lemma stems from the complexities enterprises face in adopting AI, as many use over 100 software products, leading to integration challenges and data management issues. Lemma simplifies these challenges by providing a secure and scalable infrastructure that integrates AI models, APIs, and applications, enabling businesses to fully harness AI's potential.

Recently emerging from stealth, Thread AI raised substantial funding which will help it expand its team and enhance its presence in the public sector. This investment highlights the significant market opportunity for enterprise AI infrastructure, positioning Thread AI to meet the growing demand for streamlined AI workflows across various industries.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Oct 2024

$6m

SEED

Total funding: $6m

Company HQ

Hudson Square, New York, NY

Leadership

Angela McNeal

(Co-Founder & CEO)

Previously spent over 5 years at Palantir Technologies as a Product Lead and Head of AI/ML Product. Prior to that, they were a Software Engineer at Goldman Sachs.

Mayada Gonimah

(Co-Founder & CTO)

Previously spent 4 years at Palantir Technologies in AI/ML Engineering roles. Prior to that, they spent 4 years at The New York Times in Senior Software Engineering Roles.

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