AI Jobs

Education Requirements:

• BS/MS in Engineering, Science, or a related field

• MS in Computer Science, Data Science, or related field

Experience Requirements:

• 3+ years of experience leading AI or data science projects in the semiconductor industry or another manufacturing field

Other Requirements:

• Proficiency in data science tools: Python and SQL

• Ability to work independently and as part of a team

• Travel domestically to customer sites as needed (up to 20% of working hours)

• Fluency in Korean

• Fluency in English

Responsibilities:

• Design and implement customized AI solutions for manufacturing

• Analyze manufacturing data to uncover opportunities and develop AI models

• Collaborate with customers to understand their requirements and deliver clear, data-driven solutions

• Work closely with our internal teams to ensure solutions are feasible, scalable, and aligned with product strategy

• Present findings to both technical and non-technical stakeholders

Experience Requirements:

• 10 - 12 years

Experience Requirements:

• 0.6 - 1 years

Experience Requirements:

• 8 - 10 years

Experience Requirements:

• 8 - 10 years

Experience Requirements:

• 4.6 - 6 years

Benefits:

• Medical

• Dental

• Vision

• Lunch stipend

• Office in downtown San Francisco

Experience Requirements:

• Hands-on experience building features/leading projects from scratch

• Deep understanding of systems and infrastructure

• Experience with JS frameworks and full-stack web apps

• Background in fast-paced startup environments

• Experience with large-scale data pipelines or search clusters (Nice to have)

Other Requirements:

• Ability to learn things quickly

• Good at communication and enjoys working in person

• Shows excellence in education or work history

Responsibilities:

• Take over major parts of the codebase

• Maintain technical velocity as the company scales

• Act as a high-trust reviewer

• Raise the bar for engineering quality and speed

• Shape architectural decisions and mentor teammates

Benefits:

• Horaires de travail flexibles

• Team building

• Afterworks

• Déjeuners d'équipe

Education Requirements:

• Bac +5 / Master

Experience Requirements:

• 5+ years in Data & AI engineering

• Proven track record of deploying Data workflows & AI systems in production

Other Requirements:

• Proficiency in Python

• Hands-on experience developing agentic solutions

• Experience with API design and developmen t

• Familiar ity with a major data or cloud platform (GCP, AWS, Azure, etc.)

• Fluen t in English

Responsibilities:

• Contr i b u t e t o c l i e n t p r o j e c t s d e l i v e r y f r o m s c o p i n g t o d e p l o y m e n t

• Und e r s t a n d c l i e n t b u s i n e s s c h a l l e n g e s a n d t r a n s l a t e t h e m i n t o t e c h n i c a l r e q u i r e m e n t s

• Ass e s s t h e d a t a e c o s y s t e m a n d p r o p o s e o p t i m a l a p p r o a c h e s

• Col l a b o r a t e w i t h s o f t w a r e e n g i n e e r s t o d e f i n e a r c h i t e c t u r e

• Sk e t c h p r o t o t y p e s a n d t u r n t h e m i n t o p r o d u c t i o n - g r a d e s y s t e m s

Benefits:

• Equity awarded at the 6-month mark

• Public transit pass

• Competitive Pay

• Health insurance

• Paid vacation and sick leave

Education Requirements:

• Master/Phd Required

Experience Requirements:

• Data science and technical experience

• Successful customer data implementation experience

• Demonstrable leadership skills

• Successfully partnered with Sales Leaders

Other Requirements:

• Build strong rapport and establish trust and credibility

• Strong analytical capabilities for advanced problem-solving

• Excellent written and oral communication skills

• Comfortable working in a high-growth, constantly changing environment

• Polished and professional business acumen

Responsibilities:

• Own Data Science processes end-to-end

• Collaborate with the Product and Engineering team

• Collaborate with product, engineering, and customers to standardize process

• Designing and building data pipelines infrastructure

• Take a leading part in building our research program

Benefits:

• 100% employer-paid health, vision, and dental insurance

• Retirement plans (401k)

• Disability insurance

• Employee assistance programs

• Competitive compensation

Education Requirements:

• Bachelor’s degree in a healthcare-related field

Experience Requirements:

• 5+ Years of experience in healthcare data/research

Other Requirements:

• Knowledge of clinical coding systems (ICD-10, CPT, SNOMED CT)

• Familiarity with EMR systems

• Certification in medical coding (CPC, CCS) preferred

Responsibilities:

• Provide clinical guidance for AI co-pilots

• Develop annotation guidelines for healthcare data

• Review and annotate clinical documents like EMRs and medical charts

• Tag data using standard clinical terminologies

• Perform quality control and inter-annotator agreement checks

Experience Requirements:

• 5-8yrs

Other Requirements:

• Data Science team

• No. of Openings : 1

Experience Requirements:

• 2-3+ years of experience hiring and leading teams as an engineering manager

• 10+ years of experience as a senior individual contributor

• Experience in Rust

• Hands-on experience with cloud infrastructure and Kubernetes

• Experience supporting AI/ML platforms

Other Requirements:

• Attend onsite meetings 2-3 days a month

• Must be eligible to work in the US without sponsorship

Responsibilities:

• Own the design, reliability, scalability, and security of platform infrastructure

• Implement best practices around identity and access controls

• Establish patterns for service design and deployment

• Own system observability

• Set technical direction for infrastructure components written in Rust

Benefits:

• Equity options

• 5% 401(k) match

• Flexible working

• Enhanced parental leave

• Private healthcare

Education Requirements:

• Masters or PhD

Experience Requirements:

• At least 1 year industry experience in a commercial, non-research environment

• Foundations in data driven modelling and deep learning

• Hands-on experience in probabilistic methods and predictive modelling

• Expertise in Python (NumPy, SciPy, Pandas, TensorFlow, PyTorch)

• Deploying scalable, production-ready models

Other Requirements:

• Ability to travel to customer sites (2-3 weeks per quarter)

• Right to work status required

Responsibilities:

• Pre-processing and analyzing data for predictive modelling

• Developing innovative deep learning models

• Designing, building and testing data pipelines

• Integrating data science models with simulations

• Engaging in communication and presentation with technical teams and customers

Benefits:

• Competitive salary

• Employee stock options (ESOP)

• Growth & Agility

• Work-Life-Integration

• Collaborative environment

Education Requirements:

• Master’s degree in Law or equivalent

• Admission to the bar is a plus

• Excellent communication skills in German and English

Experience Requirements:

• Profound post-qualification contract experience

• Proven track record of leading teams

• Experience advising clients in contract review

• Experience supporting Sales and Customer Success

• Experience executing complex projects

Other Requirements:

• Entrepreneurial mindset

Responsibilities:

• Lead the Legal Engineering team and strategy

• Interact strategically with customers

• Support Sales with demos and negotiations

• Support Customer Success and identify upsells

• Setup and develop professional services

Benefits:

• Medical, vision and dental coverage

• group and supplemental life insurance

• 401K

• unlimited flexible paid time off (PTO)

• fitness and educational stipends

Education Requirements:

• Bachelor’s Degree in Computer Science, Data Informatics, or a related field

Experience Requirements:

• Four (4) years of experience as a Data Engineer, Software Developer, or related position

• Writing production code in Python, Java

• Identifying and resolving bugs and issues

• Kafka/Spark/Databricks

• AWS

Responsibilities:

• Design, build, and maintain scalable and reliable data pipelines using Databricks

• Ensure data is collected, processed, and made available in a timely and efficient manner

• Integrate data from various sources, including Kafka streams, to support real-time analytics

• Manage and optimize data lake to ensure high performance and availability

• Implement best practices for database design, indexing, and query optimization

Benefits:

• Massive-scale data systems experience

• Professional growth

• Dynamic global tech environment

• Competitive compensation and benefits package

Experience Requirements:

• 3+ years of experience building Big Data solutions

• Experience with Big Data frameworks (Apache Spark/Flink)

• Production-level experience with Scala or Java

Other Requirements:

• Fluent spoken and written English

• Strong analytical thinking and SQL skills

• Experience with Airflow and AWS (plus)

Responsibilities:

• Design and deploy production-grade backend data solutions

• Own and optimize data pipelines in production

• Partner with Data Science teams for advanced analytics

• Monitor and troubleshoot data systems in live environments

• Collaborate with R&D teams to deliver business-driven solutions

Benefits:

• Competitive Salary

• Equity

• Family Health Insurance

• Investment in Growth

• Prime Location and Top-Notch Amenities

Education Requirements:

• Fundamentals of Payroll Certification (FPC) (Preferred)

Experience Requirements:

• 4+ years of experience in data entry or data operations

• At least 1 year of experience leading or managing a team

Other Requirements:

• Strong understanding of payroll systems and employee data management

• Excellent communication, organizational, and problem-solving skills

• High attention to detail and commitment to data accuracy

• Ability to manage multiple priorities and meet deadlines

Responsibilities:

• Supervise and support the Data Entry Specialists

• Develop and implement data entry protocols and best practices

• Monitor data accuracy and completeness across systems and reports

• Coordinate with internal teams (Payroll, IT, Product)

• Conduct regular audits to ensure compliance with data security

Benefits:

• Competitive Salary

• Equity

• Family Health Insurance

• Investment in Growth

• Prime Location and Top-Notch Amenities

Education Requirements:

• Fundamentals of Payroll Certification (FPC) (Preferred)

Experience Requirements:

• 1+ years of experience as a Data Entry Specialist, especially within Payroll

Other Requirements:

• Proficient in Microsoft Excel

• Strong communication, customer service and problem-solving skills

• Accurate data entry abilities

• Ability to multi-task and prioritize

• Proficient with Microsoft Office Suite

Responsibilities:

• Access various internal and external portals to download and collect required data

• Organize and rename downloaded files following internal naming standards

• Upload and update data into internal systems and reports accurately

• Ensure the data is accurate, properly labeled, and uploaded correctly

• Handle confidential information securely

Benefits:

• Interesting and challenging work

• Learning and growth opportunities

• Visa sponsorship and relocation assistance

• Health, dental, and vision insurance

• Regular team events and offsites

Experience Requirements:

• 5+ years of experience in data science or analytics

• Advanced-level SQL

• Proficiency in Python for modeling and experimentation

• Proficiency with dbt and orchestration tools

• Experience establishing data quality and governance

Other Requirements:

• Experience with API products or developer tools

• Exposure to cloud usage or compute efficiency data

• Interest in data systems for AI-driven workflows

Responsibilities:

• Architect metrics defining user success

• Develop causal understanding of customer discovery

• Own instrumentation standards and data contracts

• Surface insights through deep-dives

• Develop scalable data products