AI Jobs

Benefits:

• Interesting and challenging work

• Competitive salary and equity

• Learning and growth opportunities

• Visa sponsorship and relocation assistance

• Health, dental, and vision insurance

Experience Requirements:

• Broad view of the generative media space

• Awareness of new methods in the space

• Work published in ICCV, ICML, Neurips, or CVPR

Other Requirements:

• Proficiency in Python, torch, diffusers, and the fal Python SDK

Responsibilities:

• Develop new methods to solve customers problems

• Conduct novel training or architecture developments

• Fine-tune pre-existing models with novel datasets

• Iterate on and deploy new AI breakthroughs

Responsibilities:

• Submit a general application for Talent Acquisition review

Benefits:

• competitive salary

• three weeks of paid vacation per year

• phenomenal co-workers

Experience Requirements:

• at least 10 years of experience in machine learning development

• analysis of large datasets is required

Other Requirements:

• expertise in making inferences

• building a robust machine learning algorithm in AWS

Responsibilities:

• analyzing large amounts of clinical and field generated data

Benefits:

• Meal-subsidy program

• Kindergarten allowance

• Supplementary health insurance

• Fully paid sick-leave

• Regular 1-on-1 talks & feedback sessions

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science or Software Engineering

Experience Requirements:

• Minimum 7 years of relevant experience in software engineering

• Proven experience leading engineering teams and defining strategy

• Experience with backend technologies (Python, Flask, FastAPI)

• Mentoring, coaching, and supporting team members

Other Requirements:

• Experience with frontend frameworks (Angular) is a plus

Responsibilities:

• Take ownership of technical direction and system design

• Lead, coach, and support team members

• Establish engineering standards and procedures

• Coordinate communication between technical and product teams

• Review and improve system architecture

Other Requirements:

• Experience in Python, SQL & python based frameworks

• Hands-on experience with OpenAI APIs, Gemini APIs, and Hugging Face ecosystem

• Knowledge of LangChain and AI frameworks like Pytorch, Tensorflow

Responsibilities:

• Build production-ready AI applications using Python and FastAPI

• Design and implement LLM pipelines

• Develop and productionize multi-modal AI systems

• Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI)

• Leverage GCP services including Vertex AI, Cloud Run, and BigQuery

Benefits:

• Competitive salary

• 25 days paid annual vacation

• Flexible working hours

• Health Insurance

• Subsidized Multisport card

Education Requirements:

• Degree in Computer Science, Statistics, Applied Mathematics, or related field

Experience Requirements:

• At least 5 years of experience in software engineering and data science fields

• Strong knowledge of software engineering of scalable production systems

• Excellence with programming languages

• Strong knowledge of design patterns, OOP, multithreading, and databases

Other Requirements:

• Good experience in building processes and automated deployments

• Excellent problem-solving and analytical skills

• Strong mentorship skills

• Broad knowledge of current technological stack (Linux, PostgreSQL, Java, Python, R, Docker)

Responsibilities:

• Design and implement framework for automated data science models

• Collaborate with product and engineering teams

• Conduct research to stay up-to-date with DS/ML techniques

• Develop proof-of-concept and prototypes

• Design and implement experiments to validate models

Benefits:

• Training and knowledge-sharing sessions

• Conference attendance and networking

• Opportunity to give talks and submit papers

• Annual in-person team meetings with families

• Extreme company transparency

Education Requirements:

• BS, MS, PhD in quantitative field, such as Physics, Mathematics, Statistics, Engineering, or equivalent practical experience.

Experience Requirements:

• Experience with some form of Deep Learning (e.g. Image recognition, or NLP)

• Experience with programming in Python

• Experience with Reinforcement Learning (bonus)

• Work experience in Wind Energy or Smart Manufacturing fields (bonus)

Other Requirements:

• Good knowledge of statistics, data analysis, and modelling methods

• Problem solving skills for formulating problems from new datasets

• Good written and verbal communication

• Ability to work with minimal to no supervision

• Ability to work remotely with cross-cultural teams

Responsibilities:

• Support deployment of products for customers

• Internal product strengthening

• Initial data exploration and modelling

• Reinforcement Learning training

• Collaborate with backend, product, and AI teams

Experience Requirements:

• 5+ years of experience in backend development with Node.js

• Proficiency in TypeScript and modern Node.js frameworks (Express.js, NestJS)

• Strong understanding of asynchronous programming and event-driven architecture

• Solid experience with SQL databases (PostgreSQL, MySQL) and query optimization

• Exposure to NoSQL databases and data warehouses for large-scale data handling

Other Requirements:

• Hands-on experience designing scalable, high-performance applications

• Good understanding of REST APIs

• Strong knowledge of Git and best practices for version control

Responsibilities:

• Architect, develop, and maintain scalable backend services using Node.js and TypeScript

• Design and implement data ingestion and transformation pipelines

• Work with relational and non-relational databases and data warehouses

• Build and integrate RESTful APIs and WebSockets to support data flows

• Optimize query performance, storage efficiency, and backend throughput

Experience Requirements:

• 1-3 years in analytics, preferably at a high-growth startup or tech company

Other Requirements:

• Advanced SQL skills (joins, CTEs, window functions)

• Excel/Google Sheets power user with Python/R capabilities

• Experience with BI tools (Metabase, Tableau, Looker, etc.)

• Experience with ETL pipelines or data engineering fundamentals

Responsibilities:

• Build on data infrastructure, clean data from 10+ sources, and design automation patterns

• Own end-to-end analytics for product, finance, growth, and operations

• Design self-serve analytics tools and documentation

• Build systems that turn manual reporting into automated intelligence

• Leverage AI tools and chatbots to accelerate analysis workflows

Education Requirements:

• MSc in Computer Science, Data Science, Mathematics, Statistics, Engineering, (or equivalent practical experience)

Experience Requirements:

• 3+ years of experience in applied data science / ML in a product environment (or equivalent practical experience)

Other Requirements:

• Strong Python skills and experience with common DS libraries (pandas, NumPy, scikit-learn)

• Solid SQL skills (joins, aggregations, window functions)

• Experience building predictive or anomaly detection models and performing rigorous evaluation

• Ability to translate business questions into measurable metrics and a clear analytical plan

• Experience working with messy real-world data: data validation, debugging pipelines, and collaborating on labeling/ground truth

Responsibilities:

• Deliver data science solutions end-to-end within a product squad

• Build, train, and improve ML models for supply chain use cases

• Define success metrics and evaluation plans with support from senior DS/PM

• Work with stakeholders to create and maintain ground truth

• Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic

Benefits:

• Competitive compensation

• Professional growth and development opportunities

• Potential for flexible work hours

• Collaborative and innovative work environment

Experience Requirements:

• Prior experience with at least 3 years in data annotation

• Knowledge on how to use Computer Vision Annotation Tool (CVAT)

• Familiarity with computer vision concepts and terminology

Other Requirements:

• Exceptional attention to detail

• Strong interpersonal and communication skills

• Adaptability and resilience in fast-paced environments

Responsibilities:

• Annotate and label images, videos, point clouds

• Ensure the quality and accuracy of annotations

• Data pre-processing (resizing, standardizing, converting formats)

• Maintain clear and organized documentation of annotated data

• Quality control checks and reviewing work of fellow annotators

Experience Requirements:

• 10–15 years of experience in ML / AI

• Strong focus on Speech AI

• Proven experience building and deploying production-grade ASR / Speech systems

• Prior experience leading or mentoring ML engineers

Other Requirements:

• Strong hands-on skills in PyTorch and ML engineering

• Experience with real-time or streaming inference systems

• Experience with Indic languages or multilingual speech is a plus

• Research publications or patents in speech or audio ML is a plus

Responsibilities:

• Lead development of ASR, TTS, and speech processing systems

• Evolve and improve architectures such as Conformer, RNN-T, and hybrid models

• Drive experiments to improve WER, latency, and robustness

• Own end-to-end delivery of Speech AI components from research to production

• Manage and mentor Speech ML engineers and applied scientists

Experience Requirements:

• 10–15 years of experience in ML / AI or backend systems

• Strong LLM focus

• Hands-on experience building and deploying LLM-based systems

• Experience leading teams or technical pods

Other Requirements:

• Strong understanding of fine-tuning, RAG, tool calling, and agent frameworks

• Proficiency in Python and modern ML stacks

• Experience with real-time or voice-based AI systems is a plus

• Research or open-source contributions in GenAI or NLP is a plus

Responsibilities:

• Lead development of LLM-based systems and agentic workflows

• Drive experiments in fine-tuning, RAG, tool-calling, and multi-agent architectures

• Own end-to-end design and delivery of LLM and agent platforms

• Optimize LLM inference for latency, throughput, and cost

• Manage and mentor AI engineers working on LLMs and agents

Benefits:

• Medical Insurance

• Competitive Incentive Program

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in Canada

• Fluent/Native in Korean

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Follow instructions, quality standards, and productivity requirements

Benefits:

• Medical Insurance

• Competitive Incentive Program

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in Canada

• Fluent/Native in Indonesian

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Grammar, punctuation, and spelling proficiency in the assigned language

Benefits:

• Medical Insurance

• Competitive Incentive Program

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in Canada

• Fluent/Native in Australian English

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Grammar, punctuation, and spelling proficiency in your assigned language

Benefits:

• Medical Insurance

• Competitive Incentive Program

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in Canada

• Fluent/Native in English

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• High degree of confidentiality required

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in India

• Fluent/Native in Hindi

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Follow instructions, quality standards, and productivity requirements

Benefits:

• Medical Insurance

• Competitive Incentive Program

• PF for 1,800 INR monthly

• Collaborative Engagement events

• Eligibility for additional salary raise

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in India

• Fluent/Native in English and Hindi

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Grammar, punctuation, and spelling proficiency in English and Hindi languages

Benefits:

• Medical Insurance

• Competitive Incentive Program

Experience Requirements:

• Entry-level

Other Requirements:

• Be 18+ years old

• Legally eligible to work in Canada

• Fluent/Native in Lao/ Laotian

• Passing background checks

Responsibilities:

• Listening and transcribing audio or video files

• Data classification and data labeling

• Ability to meet deadlines and daily KPIs

• Speed and accuracy