AI Jobs

Benefits:

• equity

• benefits

• annual bonus

• commission plan

Education Requirements:

• Degree in a quantitative field, or equivalent work experience

• Advanced degree is preferred

Experience Requirements:

• 3+ years working experience in data science, data analysis, or analytics engineering

• 2+ years experience working with massive real-life datasets

• Extensive understanding of supervised and unsupervised machine learning methods

• Proficiency writing clean, performant code in Python

• Experience querying relational databases with SQL

Other Requirements:

• Experience with cloud tools in AWS, Azure, Databricks, or GCP

• Excellent verbal and written communicator

• Experience in identity verification and fraud prevention strongly preferred

Responsibilities:

• Analyze massive customer data sets and provide actionable insights

• Act as a Data Science advocate to educate and influence customers

• Create convincing data stories to showcase model performance

• Provide thought leadership for next generation core models

• Create tools and automated workflows to improve analysis speed and accuracy

Benefits:

• Multi-agent systems development for production

• Work with cutting edge research experts

• Bonus program

• Training budget

• Chance to develop and grow

Education Requirements:

• M.Sc. in data science, machine learning, or similar quantitative field

• PhD in quantitative field (preferred)

Experience Requirements:

• 6+ years of experience in data science or applied machine learning

• 2–3 years in leadership or team lead capacity

Other Requirements:

• Client facing experience in technically driven project communications

• Strong applied knowledge of supervised and unsupervised machine learning

• Proficiency in Python and deep learning frameworks

• Working knowledge of SQL/NoSQL/Vector databases

• Fluency in English (written and spoken)

Responsibilities:

• Translate the department’s strategic vision into actionable data science projects

• Oversee and support design and implementation of scalable AI and data science solutions

• Manage project prioritization, resources, and timelines

• Provide strategical oversight and architectural guidance for data science solutions

• Mentor and support the professional growth of data scientists and engineers

Benefits:

• Equity

• Benefits

• Generous benefits package

Education Requirements:

• Ph.D. in Computer Science/Engineering, Electrical Engineering, etc.

Experience Requirements:

• At least 1+ years of relevant PostDoc or Industry research experience

• Excellent knowledge of theory and practice of AI

• Outstanding research and publication track record

• Excellent programming skills in Python

• Knowledge of common machine learning frameworks like PyTorch

Other Requirements:

• C++ and parallel programming (CUDA) is a plus

• Excellent communications skills

Responsibilities:

• Research, design and implement AI 4 Science methods

• Publish original research

• Collaborate with other team members

• Mentor interns

• Speak at conferences and events

Benefits:

• Hourly compensation between $30-40 USD

• Fully remote environment

• Flexible work hours

Other Requirements:

• Attend meetings during UTC-7/8 (Pacific Time)

• Ability to work independently

• Attention to detail

• Understanding of technical AI topics

• Professional level English proficiency

Responsibilities:

• Parsing machine learning papers or leaderboards

• Accurately extracting and compiling technical details

• Producing estimates of metrics for AI infrastructure

Benefits:

• Annual salary between $100,000 and $250,000 USD

• Remote environment with flexible hours

• Comprehensive health insurance and pension plan

• Generous PTO (30 days protected)

• Paid work trips and staff retreats

Experience Requirements:

• Prior research experience in at least one part of the AI pipeline

Other Requirements:

• Overlap with UTC–8 (Pacific Time)

• Estimation and forecasting skills

• Strong coding skills for data analyses

• Excellent written and verbal communication skills

• Professional level English proficiency

Responsibilities:

• Pitching and developing new research projects

• Making estimates and forecasts

• Tracking new model releases and benchmarks

• Evaluating technical claims and reports

• Managing multiple workstreams

Benefits:

• Environment prioritizes learning, innovation, and growth

• Work with cutting-edge technologies

• Contribute to global business solutions

• Culture values curiosity and continuous learning

Education Requirements:

• Graduate degree in a quantitative discipline or equivalent experience

Experience Requirements:

• 3-5 years of hands-on industry data science experience

• Experience building production-grade ML deployments

• Experience with NLP, vector databases, and LLM deployment

• 2+ years customer-facing experience (preferred)

• Experience communicating technical concepts

Other Requirements:

• Experience with TensorFlow/PyTorch

• Experience with Apache Spark (preferred)

• Experience with Databricks platform (preferred)

• Passion for life-long learning

• Meet expectations for technical training within 3 months

Responsibilities:

• Build and productionize customer data science workloads

• Develop LLM solutions (RAG architectures)

• Advise data teams on architecture and best practices

• Provide technical mentorship to the SME community

Other Requirements:

• Visionaries and Builders

• Hard Workers

• Data-Driven Innovators

• System-Level Thinkers

• Relentless Problem Solvers

Responsibilities:

• Solve complex problems at scale

• Create infrastructure for an entirely new economy

• Assign real-time value to information

• Turn massive data sets into actionable insights

• Reshape how the world works

Other Requirements:

• Visionaries and Builders

• Hard Workers

• Data-Driven Innovators

• System-Level Thinkers

• Relentless Problem Solvers

Responsibilities:

• Solve complex problems at scale

• Create infrastructure for an entirely new economy

• Assign real-time value to information

• Turn massive data sets into actionable insights

• Reshape how the world works

Other Requirements:

• Visionaries and Builders

• Hard Workers

• Data-Driven Innovators

• System-Level Thinkers

• Relentless Problem Solvers

Responsibilities:

• Solve complex problems at scale

• Create infrastructure for an entirely new economy

• Assign real-time value to information

• Turn massive data sets into actionable insights

• Reshape how the world works

Responsibilities:

• Product development for frozen snacks

• Lead R&D experiments

Benefits:

• Equity (RSUs) in the company

• Comprehensive medical, dental, and vision plans

• 12 weeks of paid parental leave

• Flexible vacation and sabbatical program

• Monthly stipends for work and wellness

Education Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or technical field

• Bachelor's degree in Mathematics, Statistics, or equivalent

Experience Requirements:

• 4+ years work experience in analytics, SQL, Python, or R

• Minimum 2 years experience with a Ph.D.

• 4+ years solving analytical problems using quantitative approaches

Other Requirements:

• Expertise in applied statistics (predictive modeling, regressions)

• Familiarity with Snowflake, DBT, Tableau, and/or Fivetran

• Strong communication skills with technical and non-technical audiences

Responsibilities:

• Enable product teams to think strategically with actionable insights

• Define product and business success metrics (KPIs)

• Lead technical members in executing experiments

• Develop data foundation and machine learning capabilities

• Identify growth opportunities through quantitative analysis

Benefits:

• Attractive work-life balance

• Great benefits

• Welcoming environment

• Non-hierarchical environment

• Fun place to be

Education Requirements:

• MSc or higher in computer science, physics, mathematics or related field

Experience Requirements:

• Experience in computer vision, machine learning or related area

• Professional experience in Python software development

• Hands on experience training and iterating on ML models

Other Requirements:

• Experience performing structured data analysis using Python

• Experience working in agile development teams

• C++ or object oriented language experience (merit)

• Deep Learning deployment for embedded devices (merit)

Responsibilities:

• Design and develop production grade CV and ML algorithms

• Perform in depth analysis to understand system behavior

• Identify performance bottlenecks and propose improvements

• Implement and maintain production quality code in Python

• Collaborate with firmware and test engineers

Education Requirements:

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

Experience Requirements:

• 3+ years of experience in data-focused roles (data science, analytics, or data engineering)

• Proficiency in Python and associated ML libraries (Pandas, NumPy, Scikit-learn)

• Experience with end-to-end data workflows from exploration to deployment

Other Requirements:

• Willingness and ability to learn new domains and methodologies quickly

• Strong problem-solving skills

• Experience working with LLMs (Advantage)

• Experience working on agents (Advantage)

Responsibilities:

• Enhance, maintain, and scale existing ML products

• Develop efficient Python-based implementations for machine learning pipelines

• Collaborate with team members and product managers to align technical solutions

• Contribute applied research and experimentation to improve products

• Stay up-to-date with latest advancements in machine learning

Benefits:

• Offers Equity

Education Requirements:

• PhD in CS/AI/ML (or equivalent research experience)

Experience Requirements:

• Strong Python and ML framework experience (PyTorch preferred)

• Demonstrated ability to turn research into working systems

• Experience designing eval harnesses and success metrics for agentic tasks

• Comfortable with data acquisition and curation from documents/logs

• Reproducibility mindset (tests, seeds, configs, logging)

Responsibilities:

• Design and implement multi-agent and RL approaches for code generation

• Build research prototypes that integrate with nectar

• Create evaluation suites including task specs and cost/latency dashboards

• Acquire and curate datasets from PDFs/logs/tables

• Analyze experiments with disciplined ablations and document results

Benefits:

• Generous equity grant

• 401k matching

• Relocation bonus

• Health, vision, dental insurance

Education Requirements:

• PhD in machine learning or related field (neuroscience, EE, etc)

Experience Requirements:

• Strong publication track record at top conferences (ICML, NeurIPS, ICLR, ICASSP)

• Fluency in Python and LLM development

Other Requirements:

• Attention to detail and eagerness to learn

• Aptitude and clarity of thought

• Creativity in R&D, excellence in engineering, and code velocity

Responsibilities:

• ML personalization

• Training speech models

• Using fine-tuning and RL techniques to improve LLMs

• Prototyping and designing new features of our voice interface

• Building infrastructure to handle <500ms LLM inference

Benefits:

• 401(k)

• +4 benefits

Benefits:

• Competitive compensation

• Professional development opportunities

• Flexible work arrangements

Education Requirements:

• Bachelor's Degree in a Quantitative or Technical field

Experience Requirements:

• 3+ years of experience doing quantitative analysis

• Experience with SQL, Excel, and data analysis

• Python/R scripting experience

• Experience with distributed computing (Hive/Hadoop)

• Experience with Unix/Linux

Other Requirements:

• Experience initiating and driving projects with minimal guidance

• Experience working cross-functionally

Responsibilities:

• Collect data from products for use in legal matters

• Automate analyses and author pipelines via SQL and Python

• Build dashboards for non-technical partners

• Maintain internal documentation on pipelines and tools

• Partner with lawyers and economic consultants

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Experience Requirements:

• Prior experience in AI/ML, data science, or a related technical role

Other Requirements:

• Experience with Python, SQL, and AI/ML frameworks

• Familiarity with major cloud platforms (AWS, Azure, GCP)

• Preferred: Mandarin competency

Responsibilities:

• Gain an in-depth understanding of AI-driven financial crime solutions

• Perform deep-dive analysis into client issues

• Provide recommendations on AI model tuning and data quality

• Assist in troubleshooting AI/ML-related issues post-deployment

• Communicate complex AI concepts to stakeholders

Benefits:

• Market competitive salary

• Comprehensive medical insurance

• Dedicated funding for skill development

• Hybrid-first approach

• Quarterly recognition programme

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field

Experience Requirements:

• Prior experience in AI/ML, data science, or a related technical role

Other Requirements:

• Experience with Python, SQL, and AI/ML frameworks

• Familiarity with major cloud platforms (AWS, Azure, GCP)

• Preferred: Mandarin competency

Responsibilities:

• Gain an in-depth understanding of AI-driven financial crime solutions

• Perform deep-dive analysis into client issues

• Provide recommendations on AI model tuning and data quality

• Assist in troubleshooting AI/ML-related issues post-deployment

• Communicate complex AI concepts to stakeholders

Experience Requirements:

• A background of at least 5 years in defensive and/or offensive Cyber Security

Other Requirements:

• Red Teaming / Penetration Testing

• Blue Teaming / Threat Hunting

• OS internals and Windows domain environments

• Cloud technologies such as AWS, Microsoft Azure and GCP

• Experience with Python, SQL or similar data analysis capabilities

Responsibilities:

• Threat Analysis and Research: Dive deep into terabytes of data to identify new attack vectors

• Incident Investigation: Utilize technical prowess to investigate complex security incidents

• False Positive Reduction: Leverage expertise in data analysis to fine-tune detection rules

• Thought Leadership and Community Engagement: Drive thought leadership initiatives through technical blog posts

• Work closely with Hunters customers regarding cyber security investigations