AI Jobs

Experience Requirements:

• 5+ years of hands-on data engineering experience

• Strong proficiency in Python for data processing

• Production experience with Apache Spark

• Hands-on experience with cloud platforms (AWS, GCP, or Azure)

• Deep understanding of SQL and modern data warehouse technologies

Other Requirements:

• Expertise with Kafka, Kinesis, or Flink is a plus

• Knowledge of DataOps and MLOps best practices is a plus

Responsibilities:

• Design and implement scalable data pipelines (batch and streaming)

• Build and maintain cloud-native data infrastructure

• Develop AI agents to automate operations

• Implement data quality validation and monitoring

• Collaborate with product and engineering teams on requirements

Experience Requirements:

• 0-5 years

Other Requirements:

• Growth Hacking Mindset

• ‘Learnability’ & 'Passionate'

• UI / UX

• Visual Design

• Copywriting

Responsibilities:

• Data-Tracking & Analytical insight

• Acquisition Marketing (Social, Search, Content, Email, etc.)

• Customer Retention

• Referral Programs & Viral Marketing

• Conversion Rate Optimization & A/B-testing

Benefits:

• Professional growth with continuous learning

• Flexible work environment

• Healthy work-life balance

• Collaborative and open communication

• Social activities through various hobby clubs

Responsibilities:

• Join the software development team

• Work on main applications targeting Turkey and international markets

Experience Requirements:

• Passionate thinkers

• Ready to build, innovate, and change the world

Other Requirements:

• Resume and cover letter describing the role and value proposition

Responsibilities:

• Build, innovate, and change the world

Benefits:

• Medical, Dental & Vision Insurance

• Flexible Time Off Program

• Paid Holidays

• Paid Parental Leave

• Global Employee Assistance Program (EAP)

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related technical field

Experience Requirements:

• 8+ years in a technical product management role

• Experience with unstructured and structured data management capabilities like RAG systems

• Experience working directly with public cloud services

Other Requirements:

• Deep understanding of data preparation and management for AI

• Proven track record of introducing radical new products (0 to 1)

Responsibilities:

• Lead technical discussions and be a thought leader

• Define product strategy and detailed requirements

• Develop and manage end-to-end product plans

• Work closely with customers to ensure successful adoption

• Own execution of foundational infrastructure for Agentic AI

Benefits:

• Competitive salary and equity packages

• Health, dental, and vision insurance plans

• 401(k) plan + matching

• In-office private chef

• Sponsored personal tax accounting

Education Requirements:

• BS/MS in Computer Science, Mathematics, Statistics, or other quantitative field.

Experience Requirements:

• 3+ years of software engineering experience.

• Demonstrated ability to take ambiguous problems from 0→1 and deliver high-impact outcomes end-to-end.

• Experience with modern UI frameworks like React and web-oriented programming languages like TypeScript.

• Experience with Python and backend frameworks like FastAPI or Django.

• Experience with relational databases like PostgreSQL and familiarity with vector databases and columnar databases.

Other Requirements:

• Creativity in problem solving and strong communication skills.

• Have good character, integrity and respect for others.

Responsibilities:

• Build state-of-the-art systems for agent simulation, evaluation and reinforcement learning environments.

• Develop infrastructure for task generation, synthetic data generation, verifiable reward design and tool simulations.

• Ideate, scope and implement creative RL environments to train agents with human-like capabilities.

• Lead a team of Frontend, Backend, ML, Research, and QA engineers.

• Produce high-quality, reproducible, production-level research code.

Experience Requirements:

• Strong hands-on experience with model introspection/interpretability techniques

• Experience building and training deep learning models in frameworks like PyTorch

• Proven ability to productionise research ideas into reliable, scalable tools

• Strong software engineering skills (testing, version control, maintainable code)

• Ability to translate complex model behaviour into actionable insights

Other Requirements:

• Experience with multimodal or temporal models

• Familiarity with evaluation pipelines or offline testing frameworks

• Experience building internal developer tools or ML-focused UIs

Responsibilities:

• Design and implement model introspection methods (saliency, attention visualisation)

• Productionise and scale introspection tooling for triage and evaluation workflows

• Identify informative internal representations for debugging and model comparison

• Collaborate with Simulation and Measurement teams to predict on-road performance

• Build intuitive tools and interfaces for making complex behavior accessible

Experience Requirements:

• Hands-on experience evaluating and validating complex engineered systems

• Experience in evidence-based decision-making and strong analytical skills

• Strong systems thinker who works seamlessly across functions

• Excellent documentation and communication skills

Other Requirements:

• Background in ML, Computer Vision, Motion Planning, or Data Science

• Experience in Automotive or AV industries

• Experience with SOTIF and safety validation

Responsibilities:

• Design and deliver validation scenarios to assess driving safety and performance

• Collaborate with Product, Architecture, and Autonomy leads on test strategies

• Lead the design and development of test scenarios using unique validation methods

• Grow and inspire a high-performing team of validation systems engineers

• Establish AI trust and safety through AI-powered simulation and scenario generation

Experience Requirements:

• Understanding of vehicle diagnostics, software and hardware fault triage

• Ability to troubleshoot and resolve technical issues quickly (5-minute SLA)

• Experience in fleet operations, automotive systems, or ADAS technology

• Familiarity with diagnostic tools and monitoring platforms (Datadog, Mender)

• Understanding of safety protocols and incident management

Other Requirements:

• Comfortable working in shift-based patterns including weekends

• Willingness to travel (10-15%)

• Capable of participating in on-call rotations

Responsibilities:

• Perform on-site fault triage and repair of vehicle software and hardware issues

• Follow structured fault diagnosis and repair protocols

• Collaborate with cross-functional teams to troubleshoot technical issues

• Respond rapidly to issues to maintain fleet uptime

• Provide updates on repairs and ensure smooth handovers across locations

Experience Requirements:

• AI researcher-engineers who combine both theory and implementation excellence

• Ability to move between novel research challenges and engineering solutions

Other Requirements:

• Ability to work independently on overarching research goals

• Detailed note taking and documenting progress, pitfalls and lessons learned

• Passion for computers from L1 cache to NNs

• Link to Github portfolio

• Description of coolest thing built or contributed to

Responsibilities:

• Solving cyber-security and AI issues as attackers and defenders

• Working independently on overarching research goals

• Documenting lessons learned from each experiment and iteration

Experience Requirements:

• 3–5 years of experience in web content operations, project management, or digital project coordination

• Experience coordinating across IT, regional teams, and vendors

• Working knowledge of CMS/web publishing platforms and translation tooling/workflows

Other Requirements:

• English: B2 (Upper‑Intermediate) or higher

• Spanish: Professional working proficiency

Responsibilities:

• Optimize request intake processes

• Deliver monthly reporting and performance summaries

• Maintain governance frameworks and high‑quality documentation

• Lead and execute content‑related projects as primary contact

• Oversee the broader ecosystem of content projects for strategic alignment

Education Requirements:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field

Experience Requirements:

• 0-2 years of experience

• Minimum GPA of 3.0 or higher

Other Requirements:

• Willingness to relocate within the United States

• Competitive mindset with a passion to win

Responsibilities:

• Support customers and partners through evaluation, design, and deployment of NXP solutions

• Translate customer requirements into system-level technical solutions

• Collaborate with sales, applications, and product teams to drive design wins

• Prepare technical presentations and demos

• Lead customer engagements and internal reviews

Education Requirements:

• MBO technical education at WEB 4 level

• Bachelor-level working and thinking skills

Experience Requirements:

• 3 to 5 years of demonstrable relevant work experience in the field

• Knowledge of equipment and process‑related aspects of the semiconductor industry

• Experience with lithography-based processing

Other Requirements:

• Dutch language is a must

• Proficiency in English

• Available outside regular working hours

Responsibilities:

• Creating, maintaining, and optimizing scanner and stepper jobs

• Maintain and modify existing jobs to address product or process changes

• Maintain up-to-date procedures meeting safety and quality requirements

• Coordinate quality related escalations to customers

• Define required quantity and secure availability of production tools

Education Requirements:

• BTech/MTech in CS or ECE

Experience Requirements:

• 4+ years’ experience with C/C++11

• Strong fundamentals in concurrent coding

• Highly skilled in using debugging tools like gdb, valgrind, WinDbg

• Familiarity with security protocols like TSL/RSA preferred

• Working experience with Rust is an advantage

Responsibilities:

• Design and develop application and system software for AI silicon

• Define feature requirements with customers and teams

• Document implementation strategies

• Review and test features to prevent issues

• Conduct impact analysis to mitigate potential problems

Benefits:

• Online and offline learning opportunities

Education Requirements:

• Bachelor of Science in Electrical Engineering from an accredited institution

Experience Requirements:

• At least 5 years on the job experience in a complex production environment

• Licensed Professional Engineer preferred

• Strong Microsoft Excel skills with knowledge of Visual Basic

• AutoCAD experience preferred

• SKM Software analysis experience preferred

Other Requirements:

• Root cause problem solving skills

Responsibilities:

• Perform electrical studies and design related to projects and power distribution infrastructure

• Prepare designs, specifications, and estimates for projects

• Organize electrical switching procedures for infrastructure maintenance

• Analyze and determine root cause of factory outages or system failures

• Identify and implement energy and cost reduction projects

Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Education Requirements:

• PhD, Master’s, or Graduate Degree in Computer Science

• Degree in Machine Learning or AI

• Degree in Operational Research

• Degree in Statistics or Mathematics

Experience Requirements:

• Proven track record in client interaction

• Experience collaborating with engineering and business teams

• Expertise in formulation, solving and deploying Data Science models

• Expertise in problem solving while being hands on

Other Requirements:

• Conversant with end-to-end data science model life cycle

• Conversant with at least 2 areas: NLP, CV, RAG, LLMs, or ML

• Proficiency in Python and relevant libraries

• Theoretical strength in deep learning and conventional machine learning

Responsibilities:

• Conceptualizing, formulating, coding and deploying solutions

• Interacting with clients to make sense of ambiguous problem statements

• Building systems like RAG, Multiagent, or LLM-based solutions

• Solving problems in computer vision, speech, or NLP

Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• Demonstrated experience as a Senior Data Engineer

• Experience with Python or functional languages like Scala

• Design and development of big data applications using Databricks or Spark

• Building data products by integrating large sets of internal/external data

Other Requirements:

• Nuanced understanding of code quality and Test Driven Development

• Understanding of Cloud platforms, DevOps, GitOps, and Containers

• Ability to deliver applications end-to-end using CI/CD

Responsibilities:

• Collaborate with Data Scientists to deliver AI and ML systems

• Build frameworks and tooling for complex data ingestion

• Consult clients on data strategy and modernizing infrastructure

• Model data for increased visibility and performance

• Work in short sprints to deliver working software

Benefits:

• Unlimited leaves

• Life Insurance & Private Health insurance paid by Sahaj

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• At least 8+ years experience as a Software Engineer

• Expertise with at least one programming language (FP or OOP)

• Rich understanding of code quality and TDD

• Experience with source control and build toolchains

Other Requirements:

• Maker’s mindset – resourceful and able to work without instructions

• Knowledge of CI/CD and infra-automation

• Understanding of Cloud platforms, IaC, and GitOps

• Understanding of web APIs and communication protocols

Responsibilities:

• Write high-quality, production-ready code

• Lead architecture and design decisions

• Utilize DevOps tools to automate build and deployment

• Work with Data Scientists to deliver AI/ML systems

• Provide hands-on mentorship and technical guidance

Benefits:

• Salary £41,526 - £49,553 (Grade 8) for postdoc

• 4-year PhD studentship

• World-leading research environment (REF 2014)

• Located in Brighton near the sea and London

• Publish in top AI conferences (NeurIPS, ICML, CVPR)

Education Requirements:

• PhD in machine learning or related field (for postdoc)

Experience Requirements:

• Good publication record (postdoc applicant)

• Background in approximate inference or reinforcement learning

Other Requirements:

• No fixed application deadline, positions open until filled

Responsibilities:

• Novel inference and computational method development

• Fairness under uncertainty in static settings

• Fairness under uncertainty in dynamic settings

• Ensuring transparency in fairness for human understanding

• Building interpretable models using uncertainty estimates

Benefits:

• Tax-free stipend of £18,622 per year for 4 years

• Research training stipend of £2,000 for 4 years

• Tuition fees waived up to overseas rate

• Opportunity to visit or work at Monash University Indonesia

• Work in the WeArePAL lab at the University of Sussex

Education Requirements:

• Background in Computer Science, Math, or Statistics

• Background in Econometrics or Industrial Engineering

• Background in Law or Information Systems

Experience Requirements:

• Academic or professional background in related disciplines

Other Requirements:

• Discuss application informally via email before applying

• Clearly indicate supervisor Professor Novi Quadrianto on application

Responsibilities:

• Harnessing AI for Fairness, Transparency, and Inclusive Growth

• Developing AI frameworks that minimize bias and promote trust

• Safeguarding Ethical and Legal Boundaries in Human-AI Coexistence

• Developing policies for human-AI coexistence

• Leveraging AI for sustainability in supply chain networks