AI Jobs

Benefits:

• annual bonus

• equity compensation

• medical benefits

Education Requirements:

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

Experience Requirements:

• 8+ years of experience in IT, software or systems engineering

• 3+ years in leading engineering teams

• Experience administering and integrating SaaS applications

• Proficiency in a scripting language (Python, JavaScript)

Other Requirements:

• Experience in implementing and leveraging AI solutions

• Strong understanding of cloud-native architectures

Responsibilities:

• Develop and execute strategy for Corporate Engineering function

• Design and oversee a scalable ecosystem of enterprise applications

• Provide technical guidance and review system architecture

• Partner with stakeholders across Security, IT, and Engineering

• Lead the strategy and execution of enterprise AI solutions

Benefits:

• Extra vacation day for birthday

• Health and wellness initiatives

• Training and development

• Engaging team events

• Office snacks and fruits

Education Requirements:

• Master’s degree or equivalent in Computer Science or related fields

Experience Requirements:

• 5+ years of experience in a similar role

• Experience with Scala or other JVM languages

• Experience with SQL and databases

• Demonstrated leadership skills and team management

• Professional fluency in English

Other Requirements:

• Living in Austria or available for occasional office travels

Responsibilities:

• Define and scope new features and create roadmaps

• Enhance frameworks and optimize processes

• Guide, mentor, and delegate tasks to developers

• Onboard and train new team members

• Foster open communication and address challenges

Benefits:

• Competitive compensation

• Professional development opportunities

• Flexible work arrangements

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 8+ years of data engineering experience

• Strong Scala background and knowledge of Python

• Hands on experience handling streaming and batch data with Apache Spark

• Experience running ETL jobs on AWS services like EMR or Glue

• Experience leveraging Delta lake and medallion architecture

Other Requirements:

• High degree of ownership

• Strong technical intuition

• Experience migrating data workloads from GCP to AWS is a plus

Responsibilities:

• Own technical strategy for GCP to AWS migration

• Architect and implement scalable data pipelines

• Establish standards for pipeline design and data quality

• Take accountability for reliability and performance of production ETL jobs

• Set technical direction and make architecture decisions

Benefits:

• Market competitive salary

• Professional development training

• Comprehensive health insurance

• Flexible working options

Education Requirements:

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

Experience Requirements:

• Minimum 3-5 years of experience in data engineering

Other Requirements:

• Experience with Apache Kafka, NiFi, Hadoop, Spark, Hive

• Hands-on experience with AWS (preferred) or GCP

• Strong knowledge of Python or Pyspark or Java

Responsibilities:

• Configure data pipelines for initial and delta loads

• Maintain data ingestion workflows (real-time and batch)

• Validate incoming data for accuracy and integrity

• Optimize data flows to reduce latency

• Document data integration processes and troubleshooting

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Experience Requirements:

• 2 to 4 years of experience in technical support or a related field

Other Requirements:

• Experience using support ticketing systems like Freshworks

• Familiarity with AWS infrastructure and Big Data technologies

• Fluent in Mandarin (spoken and written)

Responsibilities:

• Handle and triage tickets related to incidents and requests

• Provide technical support for CaaS and on-premise clients

• Collaborate with Product Engineering and Infrastructure teams

• Diagnose problems and identify root causes

• Maintain thorough documentation of all support tickets

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Experience Requirements:

• 2 to 4 years of experience in technical support or a related field

Other Requirements:

• Experience using support ticketing systems like Freshworks

• Familiarity with AWS infrastructure and Big Data technologies

• Fluent in Mandarin (spoken and written)

Responsibilities:

• Handle and triage tickets related to incidents and requests

• Provide technical support for CaaS and on-premise clients

• Collaborate with Product Engineering and Infrastructure teams

• Diagnose problems and identify root causes

• Maintain thorough documentation of all support tickets

Benefits:

• Stock options

• Comprehensive health, dental, and vision plans

• Flexible work environment

• Team off-sites and wellness initiatives

• Competitive vacation policy

Experience Requirements:

• Prior experience managing engineers or acting as a lead with significant people management scope

• Strong delivery leadership in running planning and prioritizing work

• Strong technical judgment in modern web systems

• Comfort operating systems in cloud environments and modern CI/CD practices

• Excellent written & verbal communication skills

Other Requirements:

• Experience with ASP.NET Core / C# and TypeScript/JavaScript

• Experience with Azure cloud environments

• Collaboration in a cross-functional, Agile environment

• Experience with DICOM, HL7/FHIR, or other healthcare standards (Nice to have)

• Background in security & compliance (HIPAA, SOC 2) (Nice to have)

Responsibilities:

• Manage ~4 engineers through consistent 1:1s, coaching, and actionable feedback

• Own performance management, goal setting, and career progression

• Lead hiring execution for the team

• Own delivery, execution, and day-to-day operation of the team

• Own day-to-day technical design and infrastructure decisions

Benefits:

• Professional training for construction site work

• Reimbursement for mandatory steel-toed safety boots

• Hands-on field experience on large-scale projects

• Direct contribution to AI-driven innovation

Experience Requirements:

• Experience in Construction, Surveying, or Civil Engineering (Nice to have)

• Previous fieldwork or site-based work experience (Nice to have)

Other Requirements:

• Availability for one full weekday (8 to 10 hours)

• Ability to walk long distances (20,000+ steps a day)

• Valid OSHA 10 Certification required

• Comfort working outdoors in varying conditions

Responsibilities:

• Operate 360° cameras and surveying equipment on-site

• Document and communicate the progress of work being done

• Follow all safety protocols and guidelines (PPE usage)

• Collaborate with the Project Team to adapt to project needs

• Maintain systematic data capture following a technical brief

Education Requirements:

• High school diploma required

• Bachelor’s degree in Life Sciences, Library Science, or related fields preferred

Experience Requirements:

• Previous experience in data entry, metadata review, or structured data validation

Other Requirements:

• Pass a Tier 1 Federal Background Check

• Mandatory in-person fingerprinting

• Mandatory travel to Bethesda, Maryland for badge collection

• Provide own computer and PIV card reader

• Professional-level English reading comprehension

Responsibilities:

• Metadata Validation for biomedical journal articles

• Identify and record research funding acknowledgments (grants)

• Identify and link related citations like errata and retractions

• Apply correct status indicators to citations (Classification)

• Manage workflow to meet target of 35 citations per hour

Experience Requirements:

• Minimum 3 years of hands-on experience in data science roles

Other Requirements:

• Strong grasp of machine learning algorithms, statistical modeling and deep learning

• Proficiency with Python and libraries like NumPy, Pandas, OpenCV, scikit-learn

• Hands-on experience with PyTorch or TensorFlow

• Strong skills in SQL and both relational/NoSQL databases

Responsibilities:

• Own the ML lifecycle- data exploration, model development, validation and deployment

• Build and optimize predictive models, recommendation engines or computer vision/NLP solutions

• Apply machine learning techniques for text mining and information extraction

• Experiment with architectures such as CNNs and Vision Transformers

• Perform model validation, optimization and error analysis

Education Requirements:

• Currently pursuing a degree in Computer Science or related field

Experience Requirements:

• Experience with React and modern JavaScript

Other Requirements:

• Knowledge of backend development principles

• Familiarity with databases and API design

• Strong problem-solving abilities

Responsibilities:

• Developing features for our web-based AI agent platform

• Working with modern technologies including React, Node.js, and TypeScript

• Implementing responsive and accessible user interfaces

• Contributing to our backend services and APIs

Education Requirements:

• Currently pursuing a degree in Computer Science, Machine Learning, or related field

Experience Requirements:

• Experience with ML frameworks (PyTorch, TensorFlow)

Other Requirements:

• Strong programming skills in Python

• Understanding of fundamental ML concepts and algorithms

• Strong analytical and problem-solving skills

Responsibilities:

• Developing and implementing machine learning models for our AI agent platform

• Optimizing existing ML pipelines and improving model performance

• Collaborating with the engineering team on AI/ML infrastructure

• Researching and implementing state-of-the-art ML techniques

Benefits:

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Experience leading multi-team engineering groups through managers

• Foundation in platform, systems, internal tooling, or commerce infrastructure

• Proven capability to lead architectural direction while maintaining delivery pace

Other Requirements:

• Comfort working with ambiguity and breaking down complexity

• Leadership style that builds trust, ownership, and growth

• Excellent systems-level thinking and product mindset

Responsibilities:

• Set clear technical and organizational direction for the group

• Lead, coach and empower engineering managers and approximately 20 engineers

• Drive maturity across engineering practices, architecture, and integrations

• Partner with Product, Data, Finance and Commercial leaders to define priorities

• Raise the bar across engineering excellence including observability and security

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 4+ years managing an engineering team focused on Trust & Safety

• Strong technical foundation in Python and SQL

• Experience with data engineering pipelines

• Understanding of anomaly detection techniques

Other Requirements:

• Applicants must be eligible to work in the US

• Willingness to travel (up to 10%)

Responsibilities:

• Manage, develop, and grow a team of Trust & Safety engineers

• Own the technical direction for bot detection and content moderation

• Drive the design and evolution of data pipelines

• Oversee development of internal tools and dashboards

• Partner with product, engineering, legal, and finance leaders

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 7+ years of software engineering experience

• 3+ years managing a mobile engineering team

Other Requirements:

• Applicants must be eligible to work in the US

• Working onsite in NYC (Chelsea)

Responsibilities:

• Manage, develop, and grow a team of mobile engineers and team leads

• Interviewing, hiring, performance management, and career development

• Partner with product and engineering leaders for cross-team alignment

• Ensure high code quality, robust testing, and scalable architecture

Benefits:

• Company equity package

• 401(k) with 3% employer match

• Medical, dental, and vision insurance

• 11 paid holidays + unlimited PTO and sick time

• 16 weeks of paid parental leave

Experience Requirements:

• 5–7 years managing a software engineering team

• Strong technical foundation (can review code, guide architecture)

• Hands-on experience building and operating systems at scale

Other Requirements:

• Applicants must be eligible to work in the U.S

• A love of music

Responsibilities:

• Own the technical direction for your team’s domain

• Build, coach, and grow a team of engineers

• Partner with product management, design, and data science

• Navigate the full development lifecycle from ideation through launch

• Champion engineering craft across your team

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Education Requirements:

• Bachelor's degree or equivalent required

Experience Requirements:

• 5+ years of experience in data engineering

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with SQL and Python

• Experience in scaling data pipelines from the ground up

Other Requirements:

• Applicants must be eligible to work in the US

• Familiarity with Airflow, DBT, and Snowflake is a strong advantage

Responsibilities:

• Serve as a critical contributor to the Suno products team

• Design, develop, and maintain complex data products and systems

• Collaborate with scientists, ML engineers, and software developers

• Leverage advanced analytics and data engineering practices

• Implement and monitor data systems to ensure high availability

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 6+ years experience in data science or machine learning roles

• Direct experience on recommendation systems

• Strong technical skills in Python, SQL, and statistical modeling

Other Requirements:

• Applicants must be eligible to work in the US

• A self-starter mentality

Responsibilities:

• Define content strategy

• Get hands-on diving deep into user behavior patterns

• Design and run experiments

• Build evaluation systems

• Collaborate cross-functionally

Experience Requirements:

• 3+ years as a Data Scientist, Data Analyst, or Quantitative Analyst

• Advanced SQL for analysis

• Practical application of statistical concepts (e.g. regression, forecasting)

• Building stakeholder relationships and presenting recommendations

• Experience with or strong interest in People & Culture (HR)

Other Requirements:

• AI Fluency: Curiosity to use AI tools practically and effectively

• Proficiency in Python and common data libraries is useful

Responsibilities:

• Identify and prioritise high-impact analytical questions

• Conduct rigorous end-to-end analyses to uncover insights

• Translate complex findings into narratives and dashboards

• Develop tools to empower stakeholders with self-service analytics

• Advocate for telemetry collection to fill data gaps

Benefits:

• Healthcare for family

• Competitive compensation and 401K

• RSU grants for full-time employees

• ESPP program

• Flexible vacation policy

Experience Requirements:

• 2+ years of experience in data center or server infrastructure roles

Other Requirements:

• Hands-on knowledge of server hardware

• Proficient with structured cabling

• On-call responsibilities (within one hour of facility)

Responsibilities:

• Maintain organizational infrastructure and rack equipment

• Troubleshoot and repair defective equipment

• Setup, test and activate new equipment via Linux

• Execute infrastructure projects and server set-up

• Respond to data center infrastructure incidents