Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 2-3 Years

Other Requirements:

• Aligned with the belief that everyone is infinitely capable

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 4-6 Years

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 5+ Years

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 2-3 Years

Education Requirements:

• Bachelor's Degree in Computer Science, Cybersecurity, Information Technology, or a related field

• Master's Degree in Cybersecurity or a similar discipline (Preferred)

Experience Requirements:

• 5 to 10 years of experience in IT

• at least 3-5 years in a dedicated cybersecurity role

• Experience in network security, application security, cloud security, and data protection

• Common career path involving roles like network/system administrator or software developer

• Experience in security analyst, security engineer, or penetration tester roles

Other Requirements:

• Certifications: CISSP, CCSP, CISM, SANS/GIAC, TOGAF, MS-100

• Knowledge of TCP/IP, firewalls, VPNs, and IDS/IPS

• Proficiency with major cloud platforms (AWS, Azure, Google Cloud)

• Expertise in IAM solutions, encryption standards (AES, RSA, TLS), and DLP

• Familiarity with industry standards (NIST, ISO 27001, CIS, GDPR, PDPA)

Responsibilities:

• Creating robust security architectures and blueprints for IT projects

• Ensuring "Security by Design" as a foundational element of technology projects

• Evaluating and selecting security technologies (firewalls, IDS/IPS, DLP, IAM)

• Developing and maintaining security standards and best practices

• Conducting risk assessments, threat modeling, and overseeing vulnerability testing

Education Requirements:

• Bachelor's Degree in Computer Science, Software Engineering, or a related field

• Master's Degree or PhD in AI, Machine Learning, Data Science, or Computer Science (Highly Desirable)

Experience Requirements:

• 7-10+ years in the technology industry

• Strong background as a software developer, cloud engineer, or general solution architect

• 3-5 years of direct, hands-on experience working on data science and machine learning projects

• Experience taking machine learning models from prototype to production environment

Other Requirements:

• Deep expertise in major cloud providers (AWS, Azure, or Google Cloud)

• Strong understanding of microservices, API design, and containerization (Docker, Kubernetes)

• Proficiency with Python and ML libraries (Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch)

• Experience in specific AI domains (NLP, Computer Vision, Recommender Systems)

• Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)

Responsibilities:

• Architecting data and feature pipelines for model training

• Designing the blueprint for the entire ML workflow and environment

• Evaluating and selecting appropriate technologies and AI/ML stacks

• Architecting model deployment patterns (Real-time, Batch, Edge inference)

• Integrating principles of Responsible AI (Fairness, Explainability, Transparency)

Education Requirements:

• Bachelor’s degree in Computer Science, Cybersecurity, or related field

Experience Requirements:

• 3–5 years experience in Security Operations or System Security Engineering

• Focus on IAM, PAM, or endpoint security

• Practical experience with Microsoft Defender, Intune, Entra ID, and CyberArk

• Hands-on experience with Microsoft Sentinel and Microsoft security ecosystem

Other Requirements:

• Microsoft Certifications: SC-200, SC-300, SC-400, AZ-500

• Knowledge of SSO configuration (SAML, OAuth, OpenID Connect)

• Understanding of Zero Trust architecture and endpoint hardening

• Scripting knowledge with PowerShell or similar automation tools

• Strong knowledge of log formats and security telemetry

Responsibilities:

• Deploying, configuring, and monitoring Microsoft Defender for Endpoint

• Managing enterprise identity lifecycle using Microsoft Entra ID

• Administering Privileged Access Management (PAM) solutions with CyberArk

• Acting as the main coordinator between internal teams and the corporate SOC

• Optimizing Microsoft Sentinel for security monitoring and incident detection

Experience Requirements:

• Experienced in ML/AI serving optimization (low-latency, batch)

• Experienced in ML/AIOps and monitoring

• Experienced in product development and agile

• Experienced in SQL, Azure, Databricks, Golang, C++, Ray Framework (Preferred)

• Deployed AI/ML production grade for enterprise (Preferred)

Other Requirements:

• Knowledge of traditional machine learning, deep learning, and generative adversarial algorithms

• Understanding of Generative AI prompt engineering techniques

• Proficiency in Python, Torch, Tensorflow, CUDA, and SparkML

• Ability to use Docker, Kubernetes, and Apache Spark

• Hands-on CI/CD workflow for application and Data & AI pipelines

Responsibilities:

• Developing AI services and projects using ML, DL, and GenAI technologies

• Designing and optimizing ML pipeline/serving and GenAI prompts

• Developing AI & Data workflows to support automation processes

• Working closely with cross-functional teams to deliver production grade AI solutions

Education Requirements:

• Bachelor's Degree in Computer Science, Information Systems, Software Engineering, or a related field

• Master's Degree (Preferred) in Data Engineering, Information Management, or Business Analytics

Experience Requirements:

• Expertise in data services of a major cloud provider (AWS, Azure, or Google Cloud)

• Expert-level knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift)

• Experience with workflow orchestration tools (Apache Airflow, Mage, or Dagster)

• Proficiency with distributed data processing frameworks like Apache Spark

• Experience with real-time data streaming (Kafka, Kinesis, Pub/Sub)

Other Requirements:

• Proficiency with Terraform or AWS CloudFormation (IaC)

• Deep understanding of data lake design (S3, ADLS) and Lakehouse architecture

• Strong proficiency in data modeling (Kimball, Inmon, Data Vault)

• Familiarity with data governance tools (Unity catalog, Collibra, Alation)

• Systems thinking and stakeholder management skills

Responsibilities:

• Translating business goals into a coherent data platform strategy

• Creating a long-term architectural vision and roadmap for the data platform

• Designing end-to-end data flows from ingestion to consumption

• Selecting and justifying technology stacks for the data platform

• Designing for scalability, security, reliability, and performance

Experience Requirements:

• 5 or more years of experience in product engineering

Other Requirements:

• Strong understanding of frontend architecture and REST APIs

• Ability to lead, design, and implement product experiences end-to-end

• Knowledge of Rust or curiosity to learn it

• Proficiency in Next.js, TypeScript, and PostgreSQL

• Knowledge of Python

• Great written and verbal communication skills

Responsibilities:

• Craft intuitive interfaces and APIs for document and workflow management

• Build features end-to-end, from playground to subscription services

• Work with engineering team to take ideas to polished products

• Define tasks, implement them, and monitor success

• Optimize browser JavaScript for performance

Benefits:

• Equity included

Experience Requirements:

• 2+ years of experience in our stack

• 1+ year of experience in our industry (ecommerce / email marketing)

Other Requirements:

• Excitement about using AI coding tools (e.g. Cursor, Windsurf, Copilot)

• Knowledge of React (TypeScript), NestJS (TypeScript), AWS/Terraform, PostgreSQL & ClickHouse

Responsibilities:

• Refining AI infrastructure to enable deeper segmentation

• Enhancing AI conversation engine for self-optimizing interactions

• Expanding self-service capabilities for platform access

Benefits:

• Competitive salary

• Paid vacation

• Social benefits

• Chances to work on international projects

• Supportive, friendly environment

Experience Requirements:

• 0.5+ years of commercial experience

• Advanced JavaScript knowledge

• Ability to hand-code HTML and CSS from scratch

Other Requirements:

• Upper-Intermediate English or higher

• Experience with design layouts (Photoshop, Adobe XD)

• Ability to work US hours

Responsibilities:

• Develop user interfaces

• Write clean, well-structured JavaScript code

• Build interactive UI elements and animations

• Collaborate with Project Managers and cross-functional teams

Experience Requirements:

• Familiarity with big data solutions (Spark, Flink, Hive)

• Solid knowledge in Python and Linux

• Ability to write complex SQL queries

• 2+ years experience working with Apache Spark/Flink using Scala or Java

Other Requirements:

• Strong analytical and problem-solving skills

• Fluent verbal and written English

• Experience with AWS tools and Docker/K8S preferred

Responsibilities:

• Design, build and deploy backend data solutions

• Collaborate with product, architects, and R&D teams

• Monitor solutions in production for stability and scalability

• Work closely with data science experts

Benefits:

• Equity

Other Requirements:

• Legally authorized to work in the United States

Benefits:

• Attractive Health Plan

• Uncapped Commission Plan

• Dedicated weekly time for education/training

• 25 Days Paid Vacation

• Paid Sick and Personal Leave and Public Holidays

Education Requirements:

• Microsoft certifications (Azure, Power Platform, Developer) are a plus

Experience Requirements:

• Strong proficiency with TypeScript, JavaScript (ES6+), React, and Angular

• Excellent .NET Core / .NET 6+ Web API development experience

• Python programming experience for backend automation and AI workflows

• Expert-level knowledge of MongoDB and NoSQL design

• Experience with LLMs, RAG patterns, vector stores, and AI agent development

Other Requirements:

• USA Permanent Resident, Citizen, or valid EAD holder

• Willing to commute 2-3 days per week to Newark, NJ

• Start immediately or within the next 2 weeks

• Knowledge of legal industry processes is a plus

• Background check (driving record, education, and employment records)

Responsibilities:

• Design and build full-stack solutions using .NET Core APIs and React/Angular

• Develop AI-driven applications using OpenAI, Azure OpenAI, Gemini, and Claude

• Build chatbot workflows, vector searches, and prompt engineering pipelines

• Prepare technical designs, architecture diagrams, and implementation plans

• Build enterprise dashboards using Power BI and manage datasets in Microsoft Fabric

Benefits:

• Competitive salary

• Early-stage equity package

• High-trust, execution-first culture with minimal bureaucracy

• Direct ownership of meaningful projects

• Opportunity to sit at the interface between deep research and real-world productization

Experience Requirements:

• 5+ years of hands-on software engineering experience

• Proven ability to execute on incomplete specs and drive projects to completion

• Strong experience writing production-quality code (Python & Rust strongly preferred)

• Track record of rapid prototyping in the LLM/agent space

• Experience orchestrating and evaluating complex multi-agent systems

Other Requirements:

• Legally authorized to work in the United States

• Deep understanding of LLM architecture and inference-time optimisation

• Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures)

• Comfortable in fast-moving, ambiguous environments

• Bias for ownership

Responsibilities:

• Translate research prototypes and high-level concepts into production-quality software

• Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion

• Build systems that are correct, reliable, maintainable, and performant

• Work closely with ML researchers and engineers to integrate research outputs into functional systems

• Own critical engineering tasks like data pipelines, API integrations, testing, and error handling

Benefits:

• Competitive salary and benefits

• Opportunity to work on cutting-edge autonomous technology

• Mission-driven team environment

• Dynamic and collaborative workplace

• Growth potential

Education Requirements:

• Bachelor’s degree in statistics, mathematics, computer science, computer systems engineering, or a related field

• Master’s degree in machine learning, data science, or related quantitative field (preferred)

Experience Requirements:

• Programming experience is required

• Experience in statistical modeling is required

• Experience in machine learning is required

Other Requirements:

• Experience with computer vision and perception (2D/3D detection, SLAM/localization, sensor fusion)

• On-edge/embedded deployment and performance optimization

• Familiarity with ROS/ROS2, Git, Linux, PyTorch/NumPy, and SQL

• Clear written and verbal communication skills

• Previous working experience in the mining industry (preferred)

Responsibilities:

• Implement cutting-edge techniques in machine learning and deep learning

• Perform large-scale experimentation to evaluate model performance

• Create advanced algorithms such as regression, simulation, and neural networks

• Build automated pipelines for data cleaning, labeling, and quality assurance

• Develop AI models for mining autonomy and collision-avoidance systems

Experience Requirements:

• 6 - 10 years leading 3 - 6 engineer pods in high-availability, high-frequency deploy shops

• Experience building and operating realtime/distributed systems (workflow engines, WebRTC/telephony, large fan-out queues)

Other Requirements:

• TypeScript/Node.js

• Python

• AWS

• Terraform

• Kubernetes

• OpenTelemetry

• SigNoz

Responsibilities:

• Technical direction across the stack - backend, frontend, and infra

• Team leadership: unblock engineers, set clear priorities, run lightweight design reviews

• System reliability: ensure platform stays fast, observable, and stable

• Hands-on delivery: contribute to key projects weekly

• Cross-functional glue: keep product and operations connected

Experience Requirements:

• Senior/staff experience running distributed backends with real-time/streaming constraints

• Shipped production LLM apps

• Understanding of prompt/tool design, evals, and guardrail instrumentation

Other Requirements:

• TypeScript/Node.js

• Python

• Temporal

• Redis

• PostgreSQL

• AWS

• Terraform

• Kubernetes

Responsibilities:

• Own core services in TypeScript/Node.js and Python

• Scale platform for 10K parallel calls with 99.99% uptime

• Harden pipelines for ingestion, evaluation, and analytics

• Level-up observability using OpenTelemetry/SigNoz

• Prototype, test, and ship new LLM-driven behaviors

Experience Requirements:

• 3+ years building customer-facing products in a high-velocity environment

Other Requirements:

• Fluent in TypeScript

• React/Next.js

• Node services

Responsibilities:

• Own product features end-to-end: spec, prototype, ship, iterate

• Work closely with customers to drive adoption and outcomes

• Build core customer workflows for voice-agent QA

• Turn messy, high-dimensional data into product experiences

• Maintain high engineering velocity while keeping craftsmanship