AI Jobs

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

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

Experience Requirements:

• 2 - 3 Years

• 2-4 years of experience in a data analyst role with experience in analyzing customer data, sales data, and product data.

Other Requirements:

• Proficient in data engineering tools and languages such as Python, SQL, and Java.

• Strong knowledge of business intelligence (BI) tools such as Tableau, Power BI or similar for creating reports and dashboards.

• Ability to work with databases(SQL & NoSQL) and perform complex data queries.

• Familiarity with data wrangling, ETL processes and data cleaning techniques.

• Clear understanding of data warehousing & cloud based analytics .

• Ability to apply data insights to influence marketing strategies, sales tactics, and product offerings.

Responsibilities:

• Analyze large volumes of analytical data (sales, customer, product) to identify patterns, trends, and insights.

• Develop and maintain data reports and dashboards using business intelligence tools (e.g., Tableau, Power BI, etc.)

• Collaborate with business teams to understand key business objectives and data needs.

• Analyze customer behavior, product usage, and historical purchase data to identify cross-selling opportunities.

• Ensure data models and structures are well-designed to facilitate analysis and reporting.

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.

Experience Requirements:

• Experience with deep learning and convolutional networks

• Strong theoretical and empirical research background

• Fluency with a deep learning framework and Python

• Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR

• Large scale machine learning experience working with terabytes of data

Other Requirements:

• Implemented custom operations/modules in a deep learning framework

• Imagination, ambition, and curiosity

Responsibilities:

• Develop highly scalable classifiers and detectors that solve real-world problems

• Learn and understand a large body of research in deep learning and machine learning

• Participate in cutting-edge research for medical applications of computer vision

Benefits:

• Lunch provided daily to onsite employees

• 250 lifestyle stipend per month

• Generous budget for self-improvement: coaching, courses, conferences, etc

• Actively co-create and participate in a positive, intentional team culture

• Frequent team events, dinners, off-sites, and hanging out

Experience Requirements:

• A track record of high-quality papers, open-source projects, or equivalent accomplishments in industry

• Experience with empirical research, with the ability to craft and execute on research projects that solve algorithmic and engineering problems

• 5+ years ML coding and/or research experience

Other Requirements:

• Great intuition with the ability to identify promising areas and avoid dead ends

• A preference for fast, collaborative research efforts

Responsibilities:

• Lead research initiatives in AI-assisted software development

• Develop SotA LLMs on agentic coding tasks via supervised and RL post-training

• Turn ambiguous problems into quantifiable ones

• Keep up to date with state-of-the-art techniques, and use good judgment on when to apply them

• Design and run ML experiments to drive a broader research agenda

Experience Requirements:

• 5 years experience as a data analyst

• Proven experience with ownership of cross-team projects

Other Requirements:

• Investigative and analytical problem-solving skills

• Proactive approach

• SQL and Python proficiency

• Fluency in English

• MongoDB, Neo4j: big advantage

Responsibilities:

• Drive Data-Informed R&D Direction

• Lead High-Impact Analytical Projects

• Mentor and Guide Other Analysts

• Collaborate Across Disciplines

• Participate in delivery of high profile leads to customers.

Benefits:

• Interesting and challenging work

• Competitive salary and equity

• Employee-friendly equity terms (early exercise, extended exercise)

• A lot of learning and growth opportunities

• visa sponsorship and relocation assistance to San Francisco.

Experience Requirements:

• Work published in ICCV, ICML, Neurips, CVPR

Responsibilities:

• develop new methods to solve customers problems

• entirely novel training or architecture developments

• fine-tuning pre-existing models with novel datasets

Education Requirements:

• Masters in Computer Science, Robotics or equivalent

Experience Requirements:

• At least 2 years of experience in one or more of: motion planning for robotics, classical robot motion planning (e.g., RRTs, PRMs), machine learning/deep learning

• research experience in a related field and at least one high-quality publication in a peer-reviewed academic journal/conference

Other Requirements:

• Be knowledgeable and comfortable in working with physical simulations (e.g., Gazebo, Bullet, MuJoCo, IsaacSim, etc.) to implement motion planning/machine learning algorithms

• Solid Experience programming in C++, Python, and ideally Jax

Responsibilities:

• Develop new motion planning approaches for single and multi-robot planning, starting from existing prototypes

• Exploit advances in machine learning (e.g,. graph nets, deep-learning, transformer models, etc.) for developing novel data-driven motion planning systems

• Implement state of the art algorithms and libraries in Python, C++, and Jax

• Bring problems from industrial partners to functional new solutions with very high reliability and performance

• Distill recent robotics/ML research publications for target problems and implement promising solutions

Education Requirements:

• Must be in pursuit of a Bachelor’s Degree or possessing one

Experience Requirements:

• Basic knowledge of Image Processing/Computer Vision (plus)

• Experience with data annotation tools like CVAT or TORAS (plus)

Other Requirements:

• Motivated self-starter and team player with strong communication and problem-solving skills

• Detail-oriented, hardworking, and enthusiastic

Responsibilities:

• Helping to annotate image data via computer using various open-source software programs

• Crawling the internet to build datasets when or if needed

• Teamwork in an Agile environment

• Working with the R&D team to help build machine learning algorithms

• Effective communication with engineers

Benefits:

• Competitive pay rates

• Flexible hours

• Ability to work from home

Experience Requirements:

• Advanced language skills and verifiable experience as being fluent in Mandarin

• A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

• Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

• A reliable and fast internet connection and access to a computer

• A willingness to self-declare your earnings, as our participants are self-employed

• A Paypal account to receive payment from our clients

Responsibilities:

• Completing AI training tasks such as analyzing, editing, and writing in Mandarin

• Judging the performance of AI in performing Mandarin prompts

• Improving cutting-edge AI models

Benefits:

• Competitive pay rates

• Flexible hours

• Ability to work from home

Experience Requirements:

• Python developer skills and verifiable professional experience as a Python developer

• A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

• Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

• A reliable and fast internet connection and access to a computer

• A willingness to self-declare your earnings, as our participants are self-employed

• A Paypal account to receive payment from our clients

Responsibilities:

• Completing AI training tasks such as analyzing, editing, and writing Python

• Judging the performance of AI in performing Python-related prompts

• Improving cutting-edge AI models

Benefits:

• Competitive pay rates

• Flexible hours

• Ability to work from home

Experience Requirements:

• Python developer skills and verifiable professional experience as a Python developer

• A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool

Other Requirements:

• Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time

• A reliable and fast internet connection and access to a computer

• A willingness to self-declare your earnings, as our participants are self-employed

• A Paypal account to receive payment from our clients

Responsibilities:

• Completing AI training tasks such as analyzing, editing, and writing Python

• Judging the performance of AI in performing Python-related prompts

• Improving cutting-edge AI models