Benefits:

• Quality-driven environment

• Healthy work-life balance

• Parent-friendly company culture

• Remote-friendly environment

• Competitive compensation

Benefits:

• Quality-driven environment

• Healthy work-life balance

• Parent-friendly company culture

• Remote-friendly environment

• Competitive compensation

Benefits:

• Quality-driven environment

• Healthy work-life balance

• Parent-friendly company culture

• Remote-friendly environment

• Competitive compensation

Benefits:

• Quality-driven environment

• Healthy work-life balance

• Parent-friendly company culture

• Remote-friendly environment

• Competitive compensation

Benefits:

• Quality-driven environment

• Healthy work-life balance

• Parent-friendly company culture

• Remote-friendly environment

• Competitive compensation

Benefits:

• Dental

• Extended medical insurance will be provided after 6months

Education Requirements:

• no-degree-certificate-or-diploma

Experience Requirements:

• 1-year-to-less-than-2-years

Other Requirements:

• High work standards

• Very meticulous

• Self-motivated

• Solid work ethic

Responsibilities:

• Dust cabinetry and vacuum carpeting and area rugs

• Stock other supplies

• Clean, disinfect and polish kitchen and bathroom fixtures and appliances

• Disinfect operating rooms

• Pick up debris and empty trash containers

Benefits:

• Medical, dental, vision, disability and life insurance options

• Matching 401K retirement plan

• Flexible paid time off and sick days

• Paid parental leave

• Socials, lunch & learns, interest clubs, wellness events

Benefits:

• Medical (100% base, 75% dependents)

• Dental + Vision ($2k/$500 per year)

• Employee Paid Life & Disability

• HSA/FSA

• $1k Annual Education Stipend

Education Requirements:

• M.A.

• M.Sc

Experience Requirements:

• At least 8 years of practical experience as a researcher with significant business experience

• At least 5 years of experience managing highly qualified Data Scientists/Analytics professionals

Other Requirements:

• Expertise in a wide range of machine learning/statistical/data analysis and state-of-the-art algorithms & applications

• Experience in working with external data sources, real-time data & processing big data covering both structured and unstructured data

• Practical experience in addressing real-world business problems. (e.g., pricing, product personalization, event detection, etc.)

• Experience building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.)

• Proficiency in Python and Scala

• Strong technical and technological background with good familiarity with a wide range of ML /AI & Big data tools/solutions/platforms with a particular interest in open-source solutions/tools (e.g., AWS Sagemaker, MLOps tools, etc.)

• Sufficient mathematical background for reading applied academic papers

• Strong verbal & written English communication skills

Responsibilities:

• Lead a team of data scientists and engineers

• Build and grow the Earnix Labs program

• Have an impact on the Earnix products

Experience Requirements:

• 3+ years of strong background in software development using Python and Java as a strong advantage

• Previous experience in a Data science environment

• Background with statistics and optimizations

Other Requirements:

• MLOps as a strong advantage, knowledge and experience deploying machine learning models in production environments

• An understanding of web development concepts

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform – an advantage

• Familiarity with containerization technologies such as Docker and Kubernetes – an advantage

• Experience with data engineering, data pipelines, and data processing – an advantage

Responsibilities:

• Play a key role in taking complex machine learning models and productizing them

Experience Requirements:

• 3 years experience in a System Architect role

• 10 years of software development experience building and designing large-scale multi-tenant systems

Other Requirements:

• Hands-on experience with one of the following: Java / Python / Nodejs - Must

• Proficient with high-load systems and microservice-based architectures - Must

• Experience with cloud providers, particularly AWS or GCP

• Experience with containers and serverless technologies - Must

• Experience with security requirements and implementation

• Fluent in English and Hebrew, both written and verbal

• Ability to work autonomously and as a team player – work with multiple teams in multiple countries

Responsibilities:

• Build the product architecture together with all R&D teams– interfaces, technology stack, deployment flowchart, and architecture process

• Provide technical and methodology guidance to the teams

• Be able to reduce complex problems into manageable pieces, define their interactions and communicate these concepts to all

• Maintain a good cross-relationship

• Understand and have an impact on integration processes

Education Requirements:

• M.Sc.

• PhD

Experience Requirements:

• 3+ years experience in applied research up to production code level in Machine Learning / Deep Learning, focusing on NLP

Other Requirements:

• Good understanding of DNNs and experience with PyTorch / TF / other platforms

• Experience in finetuning and evaluating LLMs - advantage

• Team player with excellent communication skills

• Proficient in Python development

• Self-learner and excited about new domains

Responsibilities:

• Work together with the product team to establish research problem, criteria for success, and convert these into measurable goals and objectives

• Explore existing approaches to research problems as well as develop new ones

• Conduct end-to-end data-driven research and development

Education Requirements:

• PhD

Experience Requirements:

• 5+ years experience of leading teams in speech recognition, computer vision or related deep learning field

Other Requirements:

• Experience with GenAI - an advantage

• Proven track-record in building ML-based systems used in production

• Proven track-record hiring, training, managing and retaining world-class engineers

• Solid engineering background

• Strong organizational and people management skills

• Experience working directly with product to deliver business value

• Excellent interpersonal and communications skills, good-spirited, and fun to work with hungry, driven, owner-like mind frame

Responsibilities:

• Managing the daily activities of our distributed research group

• Running an agile ML technology development and deployment process to deliver value for Verbit’s customers, provide ML-based tools that enable disruptive solutions and improving internal workflow

• Owning the strategic and tactical aspects of our IP development, balancing the short, medium and long term efforts

• Communicating effectively with product and engineering groups in order to work synergistically towards Verbit’s business goals

• Growing the team and hiring excellent machine learning engineers and researchers

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans

Benefits:

• Competitive Salary

• 401k with company match

• Unlimited PTO

• Equity Compensation

• Best-in-class healthcare, dental and vision plans