Benefits:

• Comprehensive health insurance, including medical, dental, vision and short-term disability

• Support for your long-term financial wellbeing, with 401K (US) and enhanced pension (UK)

• Unlimited PTO (Paid Time Off)

• Hybrid work environment (typically, team members spend a minimum of two days in the office per week)

• Travel to other locations is encouraged to foster team cohesion and maintain Samaya’s unique culture

Education Requirements:

• PhD strongly preferred

Experience Requirements:

• Demonstrated ML expertise, in researching, training, deploying, and optimising LLMs and other models/techniques for knowledge-intensive tasks.

• Strong programming skills, with proficiency in Python and experience with ML libraries/techniques.

• Proven track record of working with LLMs and neural information retrieval.

• Independence, and a willingness to take ownership of tasks

• Passion for solving challenging problems

Responsibilities:

• Research and propose cutting-edge neural solutions that solve real-world problems

• Train, deploy, and evaluate LLMs at scale

• Design and implement evaluation pipelines to ensure accuracy and efficiency

• Optimise inference and training infrastructure for latency and costs

Benefits:

• Competitive compensation package

• Stock options

• Regular benefits

• Your voice will be heard

• Unbounded career growth opportunities

Other Requirements:

• Methodological and well organized

Responsibilities:

• Maintain, extend and operate custom rendering and data preparation pipelines

• Maintain, extend and operate procedural 3D asset generation workflows

• Develop custom R&D tools in the field of 3D modeling

• Arrange and validate training datasets

Benefits:

• Remote

• Long Term

• Competitive Pay

• Flexible

Other Requirements:

• wide range of knowledge on multiple CMS's

• experience in white-hat optimization practices

Responsibilities:

• deliver excellent optimization services to clients

Benefits:

• Work Remotely

• Fair Compensation

• Multinational Team

• Team Empowerment

Experience Requirements:

• Any (new grads ok)

Benefits:

• Profit Sharing

• Generous PTO

• Work from Anywhere

• Advanced Training

• Modern Tech

Benefits:

• Profit Sharing

• Generous PTO

• Work from Anywhere

• Advanced Training

• Modern Tech

Experience Requirements:

• proficient in utilizing industry-standard software such as Cinema4D, Blender, and other relevant tools

Other Requirements:

• Cinema4D

• Real-Time Rendering

• 3D Modeling and Animation

Experience Requirements:

• passion for adopting new research, tinkering with open source, and unlocking new creative possibilities with AI

Other Requirements:

• LLM Training / Inference

• Pytorch / CUDA

• Optimization (Pruning, Distillation, Kernel Fusion, etc.)

Benefits:

• Competitive salary

• Company bonus

• Private healthcare

• Life Insurance & Income Protection

• Cycle Scheme and TechScheme

Experience Requirements:

• Excellent written and oral communication skills

• Collaboration and communication with multiple teams

• Interest in current technology and quick learning ability

Responsibilities:

• Document new features

• Improve existing documentation

• Produce various content types (guides, tutorials, reference material, etc.)

• Utilize writing guide for consistent content

• Curate and organize documentation for improved accessibility

Benefits:

• Competitive salary

• Company bonus

• Private healthcare with Medibank

• Dental, Orthodontics & Optics Cover

• Free Calm App Subscription

Experience Requirements:

• 5+ years of industry experience in data engineering

• 2+ years of experience in a lead role

• Proficiency in Scala, Java, Python, or similar

• Expertise building and deploying data processing systems

• Experience with modern development tooling and DevOps technologies

Responsibilities:

• Lead, support, and mentor a team of junior data engineers

• Write efficient and fault-tolerant code

• Configure and deploy Quantexa software using Spark, Hadoop, Scala, Elasticsearch

• Act as a trusted source of knowledge for clients

• Collaborate with solution architects and R&D engineers

Benefits:

• Competitive salary

• Company bonus

• Free Calm App Subscription

• Annual leave, national holidays + birthday off!

• Company wide socials

Experience Requirements:

• 5+ years of industry experience in data engineering

• 2+ years of experience in a lead role

• Proficiency in Scala, Java, Python, or similar

• Expertise building and deploying data processing systems

• Experience with modern development tooling and DevOps technologies

Responsibilities:

• Lead, support, and mentor a team of junior data engineers

• Write efficient and fault-tolerant code

• Configure and deploy Quantexa software using Spark, Hadoop, Scala, Elasticsearch

• Act as a trusted source of knowledge for clients

• Collaborate with solution architects and R&D engineers

Benefits:

• Competitive salary

• Company bonus

• Free Calm App Subscription

• Annual leave, national holidays + birthday off!

• Company wide socials

Experience Requirements:

• 5+ years of industry experience in data engineering

• 2+ years of experience in a lead role

• Proficiency in Scala, Java, Python, or similar

• Expertise building and deploying data processing systems

• Experience with modern development tooling and DevOps technologies

Responsibilities:

• Lead, support, and mentor a team of junior data engineers

• Write efficient and fault-tolerant code

• Configure and deploy Quantexa software using Spark, Hadoop, Scala, Elasticsearch

• Act as a trusted source of knowledge for clients

• Collaborate with solution architects and R&D engineers

Benefits:

• Competitive salary

• Company bonus

• Private healthcare with Prudential

• Free Calm App Subscription

• Annual leave, national holidays + birthday off!

Experience Requirements:

• 5+ years of industry experience in data engineering

• 2+ years of experience in a lead role

• Proficiency in Scala, Java, Python, or similar

• Expertise building and deploying data processing systems

• Experience with modern development tooling and DevOps technologies

Responsibilities:

• Lead, support, and mentor a team of junior data engineers

• Write efficient and fault-tolerant code

• Configure and deploy Quantexa software using Spark, Hadoop, Scala, Elasticsearch

• Act as a trusted source of knowledge for clients

• Collaborate with solution architects and R&D engineers

Benefits:

• Entrepreneurial and inclusive culture

• Excellent health coverage

• Four weeks paid vacation

• Catered lunches twice a week over machine learning talks

• Opportunities to collaborate with faculty at the Vector Institute

Education Requirements:

• Master’s degree in data science, artificial intelligence, computer science or equivalent experience

Experience Requirements:

• Minimum three years of experience delivering major data science projects in large, complex organizations

Other Requirements:

• Strong communication, business acumen and stakeholder management competencies

• Strong technical skills: machine learning, data engineering, MLOps, cloud solution architecture, software development practices

• Strong coding proficiency: python, R, SQL and / or Scala, cloud architecture

• Certified Scrum Product Owner and / or Certified Scrum Master or equivalent experience

• Familiarity with cloud solution architecture, Azure a plus

Responsibilities:

• Translate broad business problems into sharp data science use cases, and craft use cases into product visions

• Own machine learning products from vision to backlog; prioritizing features and defining minimum viable releases; maximizing the value your products generate, and the ROI of your pod

• Guide Agile pods on continuous improvement, ensuring that the next sprint is delivered better than the previous

• Work closely with stakeholders to identify, refine and (occasionally) reject opportunities to build machine learning products; collaborate with support functions such as risk, technology, model risk management and incorporate interfacing features

• Facilitate the professional & technical development of your colleagues through mentorship and feedback

Education Requirements:

• Bachelor's degree in Engineering or Computer Applications

Experience Requirements:

• 2+ years of experience in technical support, customer service, or related fields

• Experience working with software installation and configuration, preferably in a SaaS environment

Other Requirements:

• Excellent problem-solving and troubleshooting skills

• Strong communication skills

Responsibilities:

• Work closely with Product and Engineering teams

• Provide ongoing technical support to existing customers

• Configure the SaaS product to meet customer needs

• Collaborate with cross-functional teams

• Create and maintain technical documentation

Benefits:

• We're completely remote.

• Competitive base salary and stock option plan.

• We have full health insurance for both Canadian and US residents.

• We offer unlimited vacation.

• Flexible hours - create your most productive work schedule

Other Requirements:

• Possess superior analytical and problem-solving skills, with the ability to perform detailed data analysis and apply strategic thinking to complex issues

• Exhibit a solid understanding of software management, prioritization, and data manipulation

• Demonstrate exceptional teamwork capabilities

Responsibilities:

• Lead Customer Onboarding

• Provide Continuous Support

• Foster Cross-Functional Collaboration

• Drive Customer Success Outcomes

• Collaborate with Sales Teams

Experience Requirements:

• At least 3 years of experience in customer\technical support in SaaS companies

• Experience working with product and R&D teams

• Experience working with Customer supporting systems such as SalesForce, FreshDesk and JIRA

• Ability to prioritize tasks based on urgency and importance

• Ability to multitask, prioritize and manage time effectively

Other Requirements:

• Data analysis – good technical understanding and experience with Data analysis and investigation tools, REST API, GraphQL, SQL, Postgres, Rockset and Mongo

• Understanding/Experiences in scripting languages: Java, Python, JavaScript and TypeScript

• Critical thinker and problem-solving skills, motivation to learn new skills and technologies, good time-management skills

• Availability to work on Friday a few times per month

• Fluent written and spoken English, Hebrew, additional languages an advantage

Responsibilities:

• Investigate complicated customer complaints up to root cause solutions

• Escalate, investigate, and resolve Tier 1\2 level customer queries

• Act as a consultant and offers solutions for customers’ problems

• Track and manage your work record until resolution

• Work with all R&D groups, CSM and product management

Benefits:

• Remote Work

• Unlimited PTO

• Flexible Hours

• Medical Insurance

• Career Growth

Experience Requirements:

• Technical support specialist with engineering background

• Excellent communication skills

Benefits:

• Pursue an intellectually challenging job with a real impact

• Gain in-depth knowledge and experience in how world-leading organizations solve real-world problems with AI.

• Work at one of the world's hottest, fast-growing, deep tech AI start-ups

• Work with domain experts

• Participate in regular company events to bring together employees as one team across Europe & US.

Education Requirements:

• Bachelor’s degree required; advanced degree (MBA, MLS, or LLM) preferred

Experience Requirements:

• 5+ years in IT Governance, Risk & Compliance

• Proven in enterprise risk management and client engagement

Other Requirements:

• Strong presentation, communication, analytical, and problem-solving skills; self-supervised in the field

• Familiarity with AI governance frameworks like ISO/IEC 42001:2023 and NIST’s AI Risk Management Framework

Responsibilities:

• Define assessment requirements for internal and third-party AI systems with clients and partners.

• Document business inputs for AI model validation, data governance, risk assessment, and compliance.

• Coordinate with data science and engineering teams to profile AI models.

• Stay updated on AI regulations, ethics, and compliance standards.

• Represent LatticeFlow in workshops and training on AI compliance and risk management.