Applied Data Scientist, Thread AI
$160-200k
+ Equity
Building the next phase of critical AI infrastructure
Open for applications
Building the next phase of critical AI infrastructure
1-20 employees
Open for applications
$160-200k
+ Equity
1-20 employees
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
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
Articles
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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