AI Jobs

Benefits:

• Stock options for core team members

• 401(k) plan

• Comprehensive health, dental, and vision insurance

• Latest office equipment

• Unlimited, flexible time off

Experience Requirements:

• 2+ years of experience in software engineering or distributed systems

• Strong programming skills in Python

• Familiarity with distributed frameworks (Spark, Dask, Ray)

• Experience with workflow orchestration tools (Temporal, Celery)

• Proficiency with Infrastructure as Code (Terraform)

Other Requirements:

• Product-first mindset for internal tooling

• Comfortable in a startup environment

Responsibilities:

• Design and implement distributed task orchestration systems

• Architect pipelines across cloud object storage and data lakes

• Design and maintain distributed ingestion pipelines

• Support preprocessing of unstructured assets for AI training

• Build internal Data Explorers and management consoles

Benefits:

• Comprehensive health, dental, and vision insurance

• The latest and best office equipment

• Competitive salary, equity, and benefits package

• Flexible work environment

• Unlimited, flexible time off

Education Requirements:

• Currently pursuing a Bachelor’s, Master’s, or Ph.D. in Computer Science, Statistics, or Data Science

Experience Requirements:

• Solid foundation in statistics and core machine learning concepts

• Strong proficiency in Python (Pandas, NumPy, Scikit-learn)

• Proficiency in SQL

• Prior professional or internship experience in data science

Other Requirements:

• Fluent in both English and Mandarin preferred

Responsibilities:

• Support development and validation of machine learning models

• Assist in building LTV and revenue forecasting models

• Design and analyze experiments to evaluate model effectiveness

• Conduct exploratory data analysis

• Build dashboards and data narratives

Benefits:

• Stock options

• 401(k) plan

• Health insurance

• Dental insurance

• Vision insurance

Experience Requirements:

• Linux fundamentals

• Networking fundamentals

• Experience with Kubernetes

• Experience with incident response

• Strong software engineering ability in Go or Python

Other Requirements:

• Experience with observability tools

• Ability to reason about performance tradeoffs

Responsibilities:

• Own production reliability (availability, latency, incident response)

• Build and maintain observability (metrics, logs, traces)

• Improve deployment safety (CI/CD, rollout strategies)

• Capacity planning and cost control

• Security and compliance (secrets management, patching)

Education Requirements:

• Ph.D. or M.S. in Chemistry, Materials Science, Chemical Engineering, or a related field

Experience Requirements:

• 3-5 years of industrial analytical chemistry experience

• Demonstrated expertise in tool management and method development

• Proven ability to solve complex analytical challenges

• A quality-first approach to method development and troubleshooting

• Detail-oriented with excellent project management skills

Other Requirements:

• Expertise in Gas, liquid, or ion chromatography

• Expertise in Mass spectrometry

• Expertise in Trace metals analysis by ICP-MS or OES

• Experience with lab quality standards (e.g., ISO 17025, ASTM, GMP)

• Experience supporting tool installation and qualification

Responsibilities:

• Own and ensure the success of projects in ICP-MS, ICP-OES, LC-MS, and GC-MS

• Develop and validate new analytical methods for diverse applications

• Interpret data, compile findings, and present results in customer-facing reports

• Assign and delegate projects, write SOPs, and train junior staff

• Maintain and optimize instrument performance and interface with vendor support

Benefits:

• Discretionary employee stock programs

• Medical and dental coverage

• Retirement benefits

• Tuition reimbursement

• Discounted products

Education Requirements:

• Bachelors degree in Computer Science

Experience Requirements:

• Related internship or job experience

Other Requirements:

• Programming knowledge in Java or Python

• Knowledge of Web or iOS development

Responsibilities:

• Develop server-side or web systems

• Build custom internal tools

• Manage massive systems and services

• Attend educational/social community events

Benefits:

• Growth Opportunities

• Competitive Compensation

• Learning and development investment

Experience Requirements:

• 1+ years experience

Other Requirements:

• US citizen/visa only

• Smart & Resourceful

• Tech-Savvy

• Self-Starter

• Trust Builder

Responsibilities:

• Own the entire sales cycle from sourcing to closing

• Build genuine, lasting relationships with prospects

• Explore new frontiers and turn challenges into opportunities

• Collaborate with product, marketing, and customer success

Education Requirements:

• Currently enrolled or recently graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in data engineering preferred.

• Current BS or MS student or recent graduate. CS major is a plus

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred.

• BS or MS in Computer Science or related field

Experience Requirements:

• Strong understanding of data engineering principles using big data technologies

• Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus

• Experience with distributed computing using Hadoop and Spark

• Exposure to deploying ETL pipelines such as AirFlow, AWS Data Pipeline, AWS Glue

• Excellent programming skills in Java, SCALA or Python. Python is preferred. Experience using Tableau for data visualization will be a plus Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.)React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus Experience with Elasticsearch/ELK stack a plus Contribute with ideas to overall product strategy and roadmap Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with other team members for continuous development Preferred: Ability to stay-on for part-time or full-time as a co-op until May 2020 Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application. Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM. Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those. Excellent programming skills in prototyping languages such as Python and R. Python is preferred. Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) will be a plus. Smart, motivated and can-do attitude is absolute must. Excellent verbal and written communication. React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s BS or MS in Computer Science or related field Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design Experience with GIT, CI/CD tools, Sentry, Atlassian software and AWS CodeDeploy a plus Contribute with ideas to overall product strategy and roadmap Improve codebase with continuous refactoring Self-starter to take ownership of the platform engineering and application development Work on multiple projects simultaneously and get things done. Take products from prototype to production Collaborate with team in Sunnyvale, CA to lead 24x7 product development

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform

Education Requirements:

• Currently Enrolled or graduated with MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning preferred

Experience Requirements:

• Strong understanding of machine learning algorithms & principles (regression analysis, time series, probabilistic models, supervised classification and unsupervised learning), and their application

• Experience with Deep Learning algorithms such as Convolutional Neural Networks, Recurrent Neural Networks and LSTM

• Familiarity with Deep Learning frameworks such as TensorFlow and PyTorch, and strong experience in at least one of those

• Excellent programming skills in prototyping languages such as Python and R. Python is preferred

Responsibilities:

• participating in developing and deploying fault-tolerant ETL pipelines, perform data visualization and enable the development of ML algorithms

Education Requirements:

• Current BS or MS student or recent graduate. CS major is a plus

Experience Requirements:

• React/Redux, HTML5, CSS3, JavaScript, Python, Django and REST API’s

• Strong foundation in Computer Science, with deep knowledge of data structures, algorithms, and software design

• Experience with GIT, CI/CD tools, Atlassian software, AWS CodeDeploy, Lambda, Serverless a plus

• Experience with Elasticsearch/ELK stack a plus

• Contribute with ideas to overall product strategy and roadmap

Responsibilities:

• participating in developing and deploying frontend/backend applications, creating vizualization dashboards and developing ways to integrate high frequency data data from devices onto our platform