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:

• 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.

Experience Requirements:

• Proven experience in professional photography and/or videography direction

Other Requirements:

• Photography/Videography Direction

• Photo Editing Software

• Visual composition

• Visual Storytelling

• Color Correction

• Expertise with photo editing software such as Adobe Photoshop, Lightroom, or equivalent

• Strong grasp of visual composition, lighting, and image aesthetics

• Keen eye for visual storytelling and translating concepts into impactful imagery

• Advanced skills in color correction and post-production workflows

• Excellent written and verbal communication skills

• Attention to detail in documentation

• Ability to work independently in a remote, collaborative environment

• Background in training or guiding others in photography, videography, or creative technologies

• Portfolio demonstrating diverse creative and technical visual work

Responsibilities:

• Collaborate with AI engineers to define visual data requirements and establish high-quality training datasets.

• Direct and capture compelling photography and videography assets aligned with diverse project needs.

• Analyze, annotate, and review visual content, providing expert feedback for AI model improvement.

• Apply advanced photo editing and color correction techniques to optimize training materials.

• Demonstrate strong visual storytelling to ensure AI outputs mirror real-world creative standards.

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

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:

• Flexible work arrangements

• Professional growth opportunities

• Medical package

• Sports package

• Paid time off

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Physics, or a related field

Experience Requirements:

• Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, NLP, Computer Vision, GenAI)

• Proficiency in developing ML algorithms from scratch to production deployment

• Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow)

• Proven expertise in deploying solutions in cloud environments (AWS or Azure)

• Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG)

Other Requirements:

• High proficiency in English (C1 level)

• Excellent communication skills and consulting experience with direct interaction with clients

• Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks)

• Good knowledge of CI/CD principles (GitHub and GitHub Actions)

• Familiarity with MLOps practices, Kubernetes and Docker

Responsibilities:

• Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives

• Lead the design of AI solution architectures that meet complex business goals and drive innovation

• Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements

• Understand clients’ needs and translate business problems into data science problems

• Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security

Education Requirements:

• Graduate degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science

Experience Requirements:

• 7+ years of experience as a Data Scientist or Machine Learning Solutions Architect, preferably with a focus on AI/ML security

• 5+ years of proficiency in Python for data analysis, model training, evaluation, deployment, and optimization

• 1+ year of experience with technologies related to large language models (LLM architectures, responsible GenAI, model evaluation, and customization techniques)

Other Requirements:

• Deep understanding of AI/ML models, including their strengths, limitations, risks and vulnerabilities

• Experience with AI/ML security risks such as data poisoning, privacy attacks, adversarial inputs, denial of service attacks, etc.

• Excellent written and verbal communication skills, paired w. strong analytical and problem-solving skills

• Strong programming skills in generic programming languages such as Python or Golang and machine learning frameworks such as TensorFlow or PyTorch

• Ability to quickly learn new technologies and concepts and to understand a wide variety of technical challenges to be solved

• Hands-on experience with AI security best practices, including vulnerability assessments, red teaming, and cybersecurity controls

• Experience with open source frameworks for building applications powered by large language models like LangChain and LlamaIndex

• Knowledge of prompt engineering, state-of-the art model architectures as well as necessary understanding of underlying maths/statistics

• Familiarity with AWS, Azure & Google services and the cloud computing landscape

• Knowledge of model deployment technologies such as TorchServe, ONNX, Triton, vLLM and orchestration using docker and Kubernetes is a plus

• Familiarity with big data technologies such as Hadoop, Spark, and MongoDB

• Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment

• Track record of thought leadership and innovation around AI/ML/GenAI, ideally with experience in patenting inventions

• Experience developing proof-of-concept exploits for new or theoretical attacks

• Experience scaling products at hyper-growth startups

Responsibilities:

• Help lead the data science team fostering innovation and excellence in AI security engineering translating business needs into short, medium and long-term roadmaps

• Develop technical assets and IP across automated pentesting and real-time monitoring of both discriminative and generative AI technologies

• Engage with product owners to influence product direction and facilitate coverage across security frameworks and standards (e.g., NIST AI RMF, OWASP TOP 10s, MITRE ATLAS, CLOUD SECURITY ALLIANCE, etc.)

• Track and analyze emerging threats to AI systems, focusing on AI/ML/GenAI models, applications and environments

• Develop and implement detection and mitigation strategies for identified threats, including prototyping new approaches

Benefits:

• competitive compensation package

• pension contributions

• flexible holiday allowances

Education Requirements:

• PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Demonstrated expertise applying deep learning to omics data at scale

• Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

• Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

• Solid grasp of causal inference, experimental design, and statistics

• Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

• Identify, prioritize, and acquire multi-omics datasets

• Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

• Design schemes for pretraining and finetuning Enchant on multi-omics data

• Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

• Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field

Experience Requirements:

• 3+ years of relevant experience

Other Requirements:

• Demonstrated expertise applying deep learning to omics data at scale

• Proficiency in Python and modern deep‑learning frameworks (PyTorch, JAX, or similar)

• Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics

• Solid grasp of causal inference, experimental design, and statistics

• Familiarity with software engineering best practices, version control, code review, and continuous integration

Responsibilities:

• Identify, prioritize, and acquire multi-omics datasets

• Build, maintain, and document data pipelines that ingest, quality‑control, and harmonize large multi‑omics datasets

• Design schemes for pretraining and finetuning Enchant on multi-omics data

• Define benchmarks for target‑selection and biomarker tasks; source or assemble reference datasets to measure progress

• Apply causal‑inference principles to propose experiments that disambiguate biological mechanisms and validate model outputs

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

Education Requirements:

• preferably tier-1 college (IISc, IITs, NITs, BITS and others)

• Masters/PhD in Computer Science, Machine Learning, or related field preferred

Experience Requirements:

• 5-15 YOE

• Worked on at least 1 Computer vision problem statement in the past 5 years

• Have built, trained and deployed models on production before

• Experience with vision transformer architectures

• Experience optimizing models for production using ONNX/TensorRT','Background in handling high-resolution satellite/aerial imagery preferred

Other Requirements:

• Comfortable with WFO in Bangalore or Noida

• Happy to read research papers day in day out and train on terabytes of image data on big H100 clusters

• Strong foundation in computer vision and deep learning fundamentals

• Extensive experience training transformer models from scratch

• Expert-level proficiency in PyTorch

• Experience with ONNX or TensorRT model optimization and deployment

• Deep understanding of distributed computing and parallel processing

• Advanced Python knowledge, including multi-threading and multi-processing optimization

• Experience with semantic segmentation tasks

• Proven track record of handling large-scale data processing

Responsibilities:

• Design and implement transformer-based architecture for semantic segmentation of aerial imagery

• Develop efficient image-to-token and token-to-image conversion pipelines

• Create and maintain training datasets, including data cleaning, augmentation, and validation

• Optimize model training processes for distributed computing environments

• Implement efficient inference pipelines for production deployment','Collaborate with engineering team to integrate new models into existing infrastructure

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role

• A Computer Science background is required as opposed to statistics or pure mathematics

Experience Requirements:

• Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised

• Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)

• Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)

Other Requirements:

• A strong understanding of the math and theory behind machine learning and deep learning

• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families

• Excellent communication and teamwork skills

• Fluent in written and spoken English

Responsibilities:

• Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered.

• Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices.

• Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary.

• Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters.

• Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs.

Benefits:

• Remote First Culture

• Health Care Coverage*

• Education Reimbursement*

• Competitive Paid Time Off

• 4 Self-Care Days per year

Education Requirements:

• Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering

Experience Requirements:

• At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering

Other Requirements:

• A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite

• Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc.

• Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)

• An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families

• Excellent communication and teamwork skills

• Fluent in written and spoken English

Responsibilities:

• Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage.

• Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions.

• Help out with ad-hoc one-off tasks as a team player within the AI team.

• Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality.

• Investigate weaknesses of models in production and work on pragmatic solutions.

Experience Requirements:

• 2 - 3 Years

• Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

Other Requirements:

• Minimum 1+ years of hands-on experience in AI/ML and Generative AI projects.

• Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Hugging Face).

• Strong grasp of machine learning concepts, model development lifecycle, and performance evaluation.

• Experience working with transformer-based architectures and generative techniques like GANs, VAEs, or diffusion models.

• Familiarity with cloud platforms (e.g., AWS, GCP, or Azure) and MLOps tools.

• Excellent problem-solving, communication, and teamwork skills.

• Experience deploying models into production environments.

• Familiarity with LLM fine-tuning, prompt engineering, or synthetic data generation.

• Excellent communication and presentation skills are essential.

Responsibilities:

• Design, develop, and implement machine learning models and algorithms for real-world applications.

• Research and experiment with Generative AI models (e.g., GPT, diffusion models, transformers) to solve complex problems.

• Collaborate in a culture of experimentation, contributing to PoCs, rapid prototyping, and iterative model development.

• Build and maintain data pipelines and infrastructure in collaboration with Data Engineers.

• Partner with cross-functional teams including product, engineering, and analytics to define AI/ML use cases and deliver impactful solutions.