Senior Machine Learning Engineer – LLM & Generative AI at Cognite

Phoenix, Arizona, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Oil & Gas, Chemicals, Pharma, Manufacturing, EnergyIndustries

Requirements

Highly motivated and talented with experience in Large Language Modeling (LLM) and DataOps
Problem solver, passionate, collaborative teammate willing to roll up sleeves
Experience in machine learning, natural language processing, applied science, and software development
Expertise in tweaking Foundation Models, particularly LLMs like OpenAI GPT family
Ability to work in a fast-paced environment, collaborating with diverse teams (software engineering, big data, machine learning, AI, Industrial data architects)

Responsibilities

Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications
Utilize expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks
Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy
Stay up to date with the latest research advancements and techniques

Skills

Machine Learning

LLM

Generative AI

DataOps

OpenAI GPT

Cognite

Industrial data management for asset-heavy industries

About Cognite

Cognite specializes in managing industrial data and facilitating digital transformation for asset-heavy industries like oil and gas, power and utilities, and manufacturing. Its main product, Cognite Data Fusion, integrates and organizes data from various sources, making it easier for businesses to analyze and utilize this information effectively. This process, known as data contextualization, enhances the relevance of data for better decision-making. Cognite operates on a software-as-a-service (SaaS) model, allowing clients to subscribe to its software, which provides a consistent revenue stream and access to ongoing updates. Additionally, Cognite offers consulting services to assist clients in optimizing their use of the software. The company's goal is to help industries improve their operations through better data management and digital solutions.

Bærum, NorwayHeadquarters

2016Year Founded

$219.2MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Industrial & Manufacturing, Enterprise SoftwareIndustries

501-1,000Employees

Benefits

Competitive Compensation + 401(k) with employer matching

Health, Dental, Vision & Disability Coverages with premiums fully covered for employees and all dependents

Unlimited PTO + flexibility to enjoy it

Paid Parental Leave Program

Learning & Development Stipends

Global Mobility & Exchange Program

Company Paid Friday Lunch via DoorDash + Fully Stocked Fridges in the offices

Risks

Emerging industrial AI startups pose a threat to Cognite's market share.

Geopolitical tensions could disrupt operations in key regions like the Middle East.

Reliance on cloud providers introduces risks related to data security and outages.

Differentiation

Cognite Data Fusion integrates and contextualizes data for asset-heavy industries.

Cognite offers a subscription-based SaaS model, ensuring continuous software updates.

Cognite's solutions enhance safety, sustainability, and efficiency in industrial operations.

Upsides

Cognite's partnership with Google Cloud enhances scalability and security for data management.

The launch of Cognite Embedded opens new innovation avenues for industrial software builders.

Cognite's joint venture with Saudi Aramco expands its influence in the MENA region.

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