AI Jobs

Education Requirements:

• M.Sc. in Computer Science, Data Science, or a related technical field

• B.Sc. with 3+ years of hands-on experience in AI/ML applications

• PhD in Computer Science (Nice to Have)

Experience Requirements:

• 3+ years of hands-on experience in AI/ML applications (if B.Sc.)

• Strong understanding of LLMs, embeddings, cross-encoders, vector search

• Experience running experiments and analyzing results with rigor

• Experience in a fast-paced startup (Nice to Have)

• Paper publications in conferences (Nice to Have)

Other Requirements:

• Familiarity with open-source libraries, models and research environments

• Ability to translate ideas into prototypes and iterate quickly

Responsibilities:

• Be the expert in the latest research and tooling around LLMs and RAG

• Develop benchmarks and evaluation frameworks

• Productionize research and build end-to-end reliable systems

• Contribute to internal research documentation

• Stay up to date on academic and open-source developments

Experience Requirements:

• Leaders with experience running research organizations or data-driven strategy teams.

• Individuals who see GTM as a science — and are obsessed with defining its core primitives.

• Deeply curious, multidisciplinary thinkers fluent in AI, economics, and market systems.

• Comfortable managing hybrid teams of humans, models, and agents producing open knowledge.

Responsibilities:

• Oversees the institution’s open-source GTM research agenda, including frameworks, benchmarks, and ontologies.

• Drives the roadmap for how OpenGTM codifies market knowledge — from company profiles and GTM data models to AI benchmarks and cross-vendor evaluations.

• Ensures the Lab functions as both an R&D engine and a public institution: balancing academic rigor with industry relevance.

• Leads a distributed network of researchers, AI systems, and contributors working toward the unified goal of mapping global GTM intelligence.

Benefits:

• Competitive salary and stock options

Education Requirements:

• Graduate degree (MPhil or PhD) in Computer Sciences, Computer Engineering, Mathematics, or related technical fields

Experience Requirements:

• Experienced in Natural Language Processing, Computer Vision or Speech Processing

• Familiar with programming languages such as Python and advanced knowledge on deep learning frameworks such as Pytorch, Tensorflow or Jax

• Strong publication record in top conferences (ACL, EMNLP, NeurIPS, ICML, AAAI, IJCAI, Interspeech, ICASSP etc.)

• Experienced in Dialogue Systems both Task-Oriented and Chit-Chat using Neural Models

Other Requirements:

• Excellent written and verbal technical communication skills in English

Responsibilities:

• Collaborate with other researchers and platform engineers to help invent, implement, and connect sophisticated algorithms

• Conduct research in Natural Language Processing (NLP) and Machine Learning (ML), preferably using Deep Learning, while being connected with the engineering team

Benefits:

• work-life balance

• positive culture

• indoor ball court

• rooftop terrace

• well-equipped gym

Experience Requirements:

• Proven experience in a similar role at Senior Analyst level or above

• Strong proficiency in SQL, Python, and advanced statistical analysis

• Strategic mindset with deep understanding of business dynamics

• Strong communication and influence skills

• Ability to build organizational analytical capabilities

Other Requirements:

• Demonstrated ability to create business value through analytical influence and product thinking

Responsibilities:

• Influence company-wide strategic direction by identifying high-impact analytical opportunities

• Develop and maintain scalable analytical methodologies and frameworks

• Champion adoption of advanced analytical approaches, including A/B testing and experimentation

• Propagate analytical excellence across teams through mentoring, documentation, and knowledge sharing

• Collaborate closely with executives and cross-functional teams

Experience Requirements:

• 3+ years of experience in ML research, with a strong foundation in model architecture, optimization, and validation techniques

• Expertise in domains like Reinforcement Learning, Simulation, Statistical Analysis, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory, loss function engineering, and the latest advances in AI research

• Proficiency in cloud infrastructure management and model deployment using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms like Weights & Biases

Responsibilities:

• Lead the development and fine-tuning of advanced ML models across domains like Reinforcement Learning, NLP, and Computer Vision

• Design and implement effective Hyperparameter Optimization (HPO), cross-validation strategies, and architecture selection processes

• Choose loss functions and optimizers tailored for specific problem sets and ensure models generalize well

• Implement and monitor experiment tracking using tools like Tensorboard, MLFlow, or Weights & Biases

• Develop and optimize training datasets using Hugging Face Datasets and PyTorch

Benefits:

• Flexible (Unlimited) Paid Time Off

• Medical, Dental, and Vision benefits for you and your family

• Life Insurance and Disability Benefits

• Access to a 401(k) retirement savings plan (for U.S. employees)

• Paid Parental Leave

Experience Requirements:

• 4+ year experience

• Expert in SQL and Python or R

• Robust understanding of statistical and machine learning methods

• Storytelling through data

• Experience with data transformation tools and data orchestration tools

Other Requirements:

• Legally authorized to work in Canada and/or the United States

Responsibilities:

• Drive strategic insights

• Deliver clarity

• Set up data infrastructure

• Empower self-serve analytics

• Champion a data-driven culture

Benefits:

• Health and Wellness: Healthcare policy covering your family and parents.

• Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore)

• Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities.

• Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs.

• Rewards and Recognition's: Recognition and rewards programs in place to celebrate your achievements and contributions.

Experience Requirements:

• 4+ years of experience in AI/ML development.

• Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.

• Hands-on experience with LLMs, GenAI, and RAG architectures.

• Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB).

• Knowledge of ML algorithms, deep learning architectures, and NLP techniques.

Other Requirements:

• Familiarity with cloud platforms (AWS, GCP, or Azure) and AI/ML model deployment.

• Experience with LangChain or LlamaIndex for LLM applications is a plus.

• Strong problem-solving skills and the ability to work in a fast-paced environment.

Responsibilities:

• Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment.

• Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks.

• Develop and optimize ML models, leveraging classical and deep learning techniques.

• Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate.

• Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon) for domain-specific use cases.

Education Requirements:

• Master's or PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Familiar with Linux system, solid programming skills, data structures and algorithms, proficient in at least two programming languages.

• Familiar with and master principles of various optimization algorithms, machine learning, multi-agent reinforcement learning, deep learning, heterogeneous and asynchronous computing.

• Able to use mainstream frameworks like TF, PyTorch for model building and algorithm tuning.

• (Plus) Published papers in AI journals/conferences.

Other Requirements:

• Strong understanding and knowledge of AI.

• Strong hands-on and fast learning ability, able to quickly follow cutting-edge technologies and apply them to practical problems.

• Good English skills, able to read relevant literature.

• (Plus) Knowledge in complex networks, Bayesian statistics, stochastic processes, information theory, game theory, knowledge graphs.

Responsibilities:

• Participate in cutting-edge research in multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Collaborate with team members to complete research projects, read papers, implement algorithms, conduct large-scale experiments.

• Participate in or lead the design and development of platforms or systems, promote the implementation of basic model algorithms.

Education Requirements:

• PhD degree in Computer Science, Mathematics, Statistics or related fields.

Experience Requirements:

• Published at least 2 papers as first/corresponding author in top international AI conferences or SCI journals.

• Achieved significant results in at least one area among multi-agent system modeling, agent learning and decision-making, communication and cooperation, game theory, social intelligence.

• Social intelligence related work preferred.

• (Plus) Knowledge in optimization theory, complex networks, Bayesian statistics, stochastic processes, information theory, knowledge graphs.

Other Requirements:

• Good academic background and excellent independent research and innovation ability, self-driven, capable of leading research projects and guiding interns.

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Conduct cutting-edge research in multi-agent systems modeling, agent learning and decision-making, communication and collaboration, game theory, swarm intelligence, producing impactful original research results.

• Lead team members in research projects, guide interns.

• Collaborate with engineering team to achieve technology transfer and algorithm implementation.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid CV theoretical foundation, familiar with algorithms in related fields.

• Research background and work experience in 3D vision, image processing, video understanding preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch), good programming skills (Python / C++).

Responsibilities:

• Track latest AI research, responsible for algorithm research integrating visual perception with natural language, speech and other perception modules.

• Integrate machine vision with natural language processing, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Develop and optimize 3D reconstruction algorithms based on monocular, binocular, multi-camera.

• Optimize effects of basic computer vision modules, including but not limited to semantic segmentation, object detection/tracking, behavior recognition, pose estimation.

Education Requirements:

• PhD degree in Artificial Intelligence, Robotics, Computer Science, Automation, Applied Mathematics or related fields.

Experience Requirements:

• Published papers in top international AI journals or academic conferences.

• Good academic background and research ability, able to independently undertake research tasks.

Other Requirements:

• Excellent mathematical foundation.

• Aspiring to engage in cutting-edge AI research, passionate about scientific research, full of challenge spirit.

• Excellent Chinese and English oral and written communication skills, good teamwork spirit.

Responsibilities:

• Simulation and Interaction Lab undertakes numerous research tasks centered on autonomous intelligence, focusing on cutting-edge exploration in embodied AI, cognitive computing, reinforcement learning, mixed-intelligence simulation, intelligent graphics generation.

• Responsible for conducting cutting-edge theoretical and technological research in AI, producing impactful original research results.

• Lead or participate in specific research projects, producing impactful scientific research results.

• Work closely with team members to promote the implementation of basic algorithm models.

Education Requirements:

• Master's degree or above.

Experience Requirements:

• Solid NLP theoretical foundation, familiar with algorithms in related fields.

• Research background and work experience in natural language understanding, information retrieval preferred.

• Solid algorithm foundation, familiar with mainstream deep learning frameworks (TensorFlow / PyTorch / MXNet), understanding of popular language models like Seq2Seq, Transformer.

• Good programming skills (Python / C++).

• (Plus) Mastered ASR, TTS speech technologies or relevant project experience.

Responsibilities:

• Track latest AI research, responsible for algorithm research integrating natural language processing with machine vision, speech and other perception modules.

• Integrate natural language processing with machine vision, speech technology, jointly analyze text, image, audio-video multi-modal information, build computational models, achieve semantic recognition and integration of visual and language information, applied to important AI tasks like image description, visual Q&A, logical reasoning.

• Establish explainable Q&A inference models, including neuro-symbolic reasoning, graphic reasoning.

• Optimize effects of basic natural language processing modules, including but not limited to word segmentation, entity recognition, syntactic analysis, intent classification.

Education Requirements:

• PhD degree.

Experience Requirements:

• Published papers in top international AI conferences or journals (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, ACL, EMNLP).

Other Requirements:

• Strong self-drive, aspiring to engage in cutting-edge AI research, capable of leading a project and guiding interns.

• Excellent English oral and written communication skills.

Responsibilities:

• Conduct cutting-edge research in (1) Vision-Language Model (VLM), (2) Vision-Language-Action (VLA), (3) AGI Agents, producing impactful original research results.

• Lead team members in research projects, guide interns.

• Collaborate with engineering team to achieve technology transfer and algorithm implementation.

Education Requirements:

• Master's or PhD degree in Computer Science or related fields.

Experience Requirements:

• Solid programming skills, data structures and algorithms, proficient in at least two programming languages.

• Published papers in AI journals/conferences preferred.

Other Requirements:

• Strong understanding and knowledge of Artificial Intelligence.

Responsibilities:

• Mainly responsible for collaborating with team members on academic research and frontier exploration in general vision, natural language processing, robotics, cognition and reasoning, machine learning, multi-agents, intelligent interaction.

• Lead or participate in the design and development of platforms or systems, promote the implementation of basic model algorithms.

Education Requirements:

• PhD degree in Computer Science, Software Engineering, Mathematics or related fields.

Experience Requirements:

• Good academic background and excellent independent research and innovation ability, published impactful papers in top international conferences and journals.

• Achieved significant results in at least one area among computer vision, natural language processing, robotics, cognitive science, machine learning, multi-agents, meta-intelligence and embodied intelligence.

Other Requirements:

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Mainly responsible for academic research and frontier exploration in general vision, natural language processing, robotics, cognition and reasoning, machine learning, multi-agents, intelligent interaction.

Education Requirements:

• PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing or related fields.

Experience Requirements:

• In-depth research experience in human-machine value alignment, long-text modeling, efficient language models, explainable language models, language model inference, RAG knowledge integration, capable of independently conducting research projects.

• Knowledge of Natural Language Processing and Machine Learning fundamentals, deep understanding of Machine Learning and Deep Learning algorithms, especially their application in Natural Language Processing.

• Published high-quality academic papers in top international conferences (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) or journals.

• Bonus: unique understanding, models, or systematic work in related Natural Language Processing subfields.

• Bonus: led large Natural Language Processing related projects, including large language model training and data cleaning, complex human-computer interaction systems.

Other Requirements:

• Excellent Chinese and English expression skills, good teamwork spirit.

• Strong curiosity and innovative spirit, able to continuously explore new research directions and technological applications.

Responsibilities:

• Conduct cutting-edge research and technology development in natural language frontier areas such as value alignment, efficient language modeling, explainable large models, long-text understanding and reasoning, lead, collaborate and execute to advance frontier research in Natural Language Processing.

• Write high-quality academic papers, actively participate in submissions and publications to top international conferences and journals, enhance the lab's academic influence.

• Collaborate closely with product, engineering, and data teams to apply research results to actual products, promoting technology implementation.

• Participate in academic conferences, seminars, and internal technical sharing sessions, continuously track industry trends, and promote the team's technical level.

Education Requirements:

• Master's degree or above in Computer Science, Software Engineering, Mathematics or related fields.

Experience Requirements:

• At least some accumulation in one NLP area.

• Basic Natural Language Processing knowledge and Machine Learning fundamentals, understanding of common language models like transformer, seq2seq, proficient in PyTorch, Transformers and other deep learning frameworks.

• Proficient in vllm, peft, trl and other language model frameworks preferred.

• Practical experience in pre-trained language models, large language model fine-tuning, multimodal language model training preferred.

• Experience in AI related app development, participated in AI/ML related GitHub projects with 100+ stars preferred. Published papers in AI journals/conferences like ACL, EMNLP, NAACL, CoLM, ICLR, ICML, NeurIPS preferred.

Other Requirements:

• Excellent Chinese and English expression skills, good teamwork spirit.

Responsibilities:

• Track latest Natural Language Processing research progress, conduct algorithm reproduction, migration and debugging for typical tasks such as multimodal modeling, human-computer interaction, natural language inference.

• Collaborate with team members on academic research and frontier exploration in Natural Language Processing.

• Lead or participate in the design and development of platforms or systems, promote the implementation of Natural Language Processing basic model algorithms.

Benefits:

• Generous Company Equity Package

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

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 5+ years experience in data science or machine learning roles with direct experience building recommendation systems - ideally in consumer products, music/audio, or content platforms

• Strong technical skills in Python, SQL, and modern ML techniques for recommendations

• Experience designing and running rigorous experiments, evaluating tradeoffs, deriving clear insights, and making actionable recommendations

• Excellent communication and experience working across multiple functions to influence decisions

• A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning

Other Requirements:

• Applicants must be eligible to work in the US.

• This is an onsite role in Cambridge, NYC, Venice Beach, or SF

Responsibilities:

• Define content strategy

• Get hands-on: Dive deep into user behavior patterns and content characteristics, using these insights to prototype and improve upon recommendation algorithms and features

• Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements and measure impact on user engagement, retention, and music creation

• Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality across multiple dimensions - relevance, diversity, novelty, and user satisfaction

• Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms and with product to shape user experience

Benefits:

• Generous Company Equity Package

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

• Unlimited PTO & Sick Time

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• Continued / Creative Education Stipend

Experience Requirements:

• 5+ years experience in data science, with specific experience in growth and paid / performance marketing

• Strong quantitative foundation and experience in statistical modeling

• Expertise in experimental design, with demonstrated experience running both product and marketing experiments

• Worked closely on defining and measuring growth, onboarding, and retention metrics

• Advanced proficiency in SQL and Python for data analysis, statistical modeling, and automation

Other Requirements:

• Applicants must be eligible to work in the US.

• Suno employees are expected to work 5 days/week in one of our offices.

Responsibilities:

• Drive growth strategy through rigorous analysis of both product usage patterns and marketing channel performance

• Design and analyze experiments across product features and marketing campaigns to optimize user acquisition, activation, and retention

• Develop and maintain attribution models to understand the effectiveness of various growth channels and optimize marketing spend

• Build predictive models for user behavior, including conversion propensity, churn likelihood, and lifetime value

• Partner with data engineering to ensure robust data collection and transformation for growth analytics

Education Requirements:

• Master's degree in data analytics, business analytics, or other closely related field

Experience Requirements:

• 1 year of related experience in data analytics

Responsibilities:

• Formulate hypotheses and test them using rigorous analytical methodologies and diverse frameworks

• Conduct advanced statistical analysis, machine learning, and data mining to drive product insights

• Develop and implement predictive models to support product strategy and decision-making

• Define key performance indicators (KPIs) and develop dashboards to monitor product performance

• Conduct A/B testing and other experimental methods to measure the impact of product changes