Experienced AI/ML Applied Researcher

Posted 2 Days Ago
Easy Apply
Be an Early Applicant
Hiring Remotely in Haifa, ISR
Remote
Mid level
Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
We are transforming how people and machines work together to push the boundaries of human productivity.
The Role
As an AI Applied Scientist, you'll lead the algorithm lifecycle, develop predictive models using various data sources, and collaborate with teams to create innovative solutions for industrial manufacturers.
Summary Generated by Built In

Our mission is to transform how people and machines work together to push the boundaries of human productivity. A leader in Industrial AI, Augury helps the world’s manufacturers leverage real-time production insights to drive new levels of efficiency. Combining predictive and prescriptive AI technology with industry expertise, production teams can proactively address alerts, minimize downtime, reduce asset costs, and maximize yield and capacity. Our customers achieve payback in six months or less, enabling global scale. We're looking for team members excited to partner with the world's manufacturers and build the future of production together.

As Augury’s AI Applied Scientist, you’ll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research and develop cutting edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team at Augury, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.


A Day In Your Life

  • Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
  • Research, design, and build anomaly classification, predictive, insights, recommendations and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
  • You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, GenAI, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions
  • Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
  • Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks)
  • Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis

What You Bring

  • M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field. 
  • 4+ years of experience in ML applications, including research on time-series data, ML-based vectoring, and Embeddings (Transformers included)
  • Proficiency in Python and Applied Science SDLC - Discovery, Research, development, fidelity deployment, monitoring, Training, and fine tuning
  • Experience in anomaly detection, abnormal behavior, outliers, pushing recall, precision, and tail metrics KPIs boundaries
  • Experience working with ML ops infrastructure such as Vertex AI, Sagemaker etc.
  • The ability to translate research into scalable, production-ready solutions.
  • Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning.
  • Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams.
  • Experience in feature engineering-based signal processing - big advantage.

Perks

  • Stock options
  • Paid parental leave
  • Flex PTO
     

Augury is a people-first organization. We believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and we welcome those from all backgrounds and varying experiences. We are committed to providing employees with a work environment free of discrimination and harassment. We believe that diversity is more than just good intentions, and we are committed to creating an inclusive environment for all employees.

Augury is a proud equal opportunity employer, we strive to create a work environment in which everyone, all applicants, employees, customers, guests, and vendors feel safe and comfortable. We commit to maintain a workplace that is free of any type of harassment and does not tolerate anyone intimidating, humiliating, or hurting others. We prohibit willful discrimination based on age, gender, ethnicity, race, color, religion, political opinions, sexual orientation, sexual identity or expression, military or veteran status, disability or any other characteristic protected by law.

Skills Required

  • M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field
  • 4+ years of experience in ML applications including research on time-series data
  • Proficiency in Python and Applied Science SDLC
  • Experience in anomaly detection and outlier analysis
  • Experience working with ML ops infrastructure such as Vertex AI or Sagemaker
  • Ability to translate research into scalable, production-ready solutions
  • Experience in feature engineering-based signal processing

What the Team is Saying

Danielle
Angela
Brandon
Hari
Einat
Gal

Augury Compensation & Benefits Highlights

  • Leave & Time Off Breadth Flexible or unlimited PTO is paired with paid holidays, sick time, volunteer time, and company‑wide shutdowns. Feedback suggests this breadth makes time away more feasible across different needs.
  • Flexible Benefits Remote‑work support includes home‑office and phone stipends plus company‑paid coworking access. Flexible scheduling and remote options expand how employees can use and experience the benefits.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is provided alongside life and disability insurance. Feedback suggests the overall health coverage forms a solid core of the total rewards package.

Augury Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
203 Employees
Year Founded: 2011

What We Do

Our mission is to provide manufacturers and other industrial sectors with insights into the health of machines, processes, and operations to transform how people work and what they can create. A pioneer in Machine Health and Process Health solutions, we use purpose-built AI, trained by industry experts and the world’s largest data library, to help customers eliminate production downtime, improve process efficiency, maximize yield, and reduce waste and emissions.

Why Work With Us

We believe the best perk is who you work with, professionally and personally. Our team is a diverse group of people that breed creative thinking and want to solve big challenges together. Each person understands the impact of their role on our customers and Augury's success.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Augury Offices

Remote Workspace

Employees work remotely.

Typical time on-site: None
HQNew York, NY
Haifa, Israel
Tel Aviv, Israel
Learn more

Similar Jobs

Augury Logo Augury

Scientist

Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
Easy Apply
Remote
Haifa, ISR
203 Employees

Augury Logo Augury

Software Engineer

Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
Easy Apply
Remote
Haifa, ISR
203 Employees

Augury Logo Augury

Office Manager

Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
Easy Apply
Remote
Haifa, ISR
203 Employees

Augury Logo Augury

IoT Embedded Linux Engineer

Artificial Intelligence • Hardware • Internet of Things • Machine Learning • Software • Manufacturing
Easy Apply
Remote
Haifa, ISR
203 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account