AI Jobs

Benefits:

• Health Care Coverage

• Education Reimbursement

• Competitive Paid Time Off

• 4 Self-Care Days per year

• Parental Leave

Education Requirements:

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

Experience Requirements:

• 10+ years of progressive engineering experience

• 5+ years of engineering leadership in a product-driven organization

Other Requirements:

• Proven success in leading engineering efforts for desktop applications (e.g., C++)

• Background in obfuscation and relevant tools

• Expertise in Agile methodologies

• Fluent in English

Responsibilities:

• Lead and empower high-performing security-focused engineering teams

• Embed secure software development lifecycle (SDLC) principles

• Lead efforts in white-box, black-box, and grey-box testing

• Guide secure desktop and cloud-based backend system development

• Collaborate cross-functionally to identify and mitigate risks

Experience Requirements:

• Experience with TensorFlow, PyTorch or Scikit learn

• Hands on experience with data engineering tools such as Airflow or Spark

Other Requirements:

• Proficiency in Python

• Deep understanding of ML fundamentals including supervised and unsupervised learning

• Familiarity with NLP, computer vision or graph based learning

• Understanding of MLOps principles including containerization, CI CD, model versioning and monitoring

• Strong communication skills and a collaborative mindset

Responsibilities:

• Design and implement scalable machine learning models for influencer analytics, recommendation systems and content insights

• Collaborate with data engineers to build efficient data pipelines and deploy models into production environments

• Experiment with NLP and computer vision models to extract meaning from text, images and video

• Evaluate and optimize algorithms for performance, interpretability and business impact

• Work closely with product and marketing teams to turn insights into actionable product features

Benefits:

• Base salary + equity + performance bonus

• Industry-leading healthcare covering medical, dental, vision, and life paid by the company

• Health Savings and Flexible Spending accounts

• 401K

• Unlimited PTO with an employee-focused work approach

Education Requirements:

• Academic background in statistics, comp sci, math, engineering

Experience Requirements:

• 6+ years professional Data Science experience

• Deep ML/AI experience (including machine learning modeling and ensemble methodology)

• Python expertise (NumPy, SciPy), SQL, MongoDB, C++

Other Requirements:

• Consumer product and subscription modeling expertise

• Understanding of digital signal processing techniques (filtering, spectral/FFT analysis, convolution, etc.)

• Experience with machine learning, especially as it applies to music analysis and/or generation

• Familiarity with python audio processing libraries such as Librosa

• Passion for or experience in music – ML, production, and creation

Responsibilities:

• Collect, analyze, and present processed and unprocessed data pertaining to music creation tech

• Design accurate and scalable prediction algorithms in pertinence to business objectives

• Collaborate with the engineering team to bring analytical prototypes to production

• Make clear recommendations to improve and work with other department leads to execute

• Help design data team hiring roadmaps

Experience Requirements:

• 6+ years

Other Requirements:

• US citizen/visa only

• Skills: Distributed Systems, Blockchain, Software Architecture

• Ability to manage and grow engineering teams

Responsibilities:

• Engage and develop your team of engineers

• Provide technical guidance and software engineering best practices

• Balance the technical and product roadmaps within the team

• Design and code innovative, scalable and robust features

• Collaborate closely in small, nimble, cross-functional teams

Benefits:

• Competitive salary package

• Stock options

• Opportunity to work at a rapidly growing Voice AI startup

• Dynamic, fast-paced culture

• High impact and ownership

Experience Requirements:

• 3+ years of experience in Data Engineering, ML Infrastructure, or Distributed Systems

• Deep experience with PostgreSQL at scale (schema design, partitioning, indexing)

• Experience building and operating reliable ETL pipelines (Airflow, Prefect, etc.)

• Strong Python engineering skills (async, multiprocessing)

• Experience processing very large datasets (TB-scale)

Other Requirements:

• Practical familiarity with audio data as a modality

• Experience running ML inference pipelines at scale

• Startup mindset

• Ability to work on-site in Berlin

Responsibilities:

• Architect and maintain a large-scale PostgreSQL database

• Design scalable ingestion pipelines for audio data

• Build distributed compute pipelines for ML inference

• Design and maintain efficient metadata storage

• Optimize ETL/ELT pipelines for performance and reliability

Benefits:

• Competitive salary package

• Stock options

• Dynamic, fast-paced environment

• High impact

• Ownership & autonomy

Experience Requirements:

• Deep experience working with speech and audio data in ML contexts

• Strong understanding of voice AI pipelines (speech enhancement, VAD, STT, etc.)

• Proven experience building, curating, and maintaining datasets

• Experience designing evaluation protocols and test scenarios

• Proficient in Python and modern software development workflows

Other Requirements:

• Hands-on and startup mindset

• Understanding of audio signal processing (room acoustics, reverberation, noise)

• Ability to work on-site in Berlin

Responsibilities:

• Own the lifecycle of speech and audio ML datasets

• Design and generate synthetic and semi-synthetic datasets

• Design and maintain evaluation protocols and test scenarios

• Build tooling for evaluation and diagnostics

• Translate model failures into improvements in data or tooling

Benefits:

• Top-notch health coverage for you & your family

• Generous 401(K) contribution

• Up to 20 weeks paid leave for new parents

• 4 weeks of PTO

• Daily in-office catering plus a monthly Doordash stipend

Experience Requirements:

• 7+ years of experience as a Data Scientist working on consumer-facing products

• Direct experience supporting monetization systems (subscriptions, ads, or virtual currencies)

• Experience building or scaling data science practices

Other Requirements:

• Strong intuition for identifying high-impact insights

• Proven ability to turn analysis into product decisions

• Comfortable working in experimental environments with incomplete data

Responsibilities:

• Partner with product and engineering teams to drive data-informed monetization

• Define success metrics and lead experimentation

• Translate complex behavioral and economic data into actionable insights

• Build data science foundations to support rapid product iteration

Benefits:

• Top-notch health coverage for you & your family

• Generous 401(K) contribution

• Up to 20 weeks paid leave for new parents

• 4 weeks of PTO

• Daily in-office catering plus a monthly Doordash stipend

Experience Requirements:

• 7+ years of experience in data science leadership at chat, social media, or UGC product companies

• 2+ years of experience as a data scientist supporting the trust & safety function

Other Requirements:

• Strong intuition for choosing the right questions and driving to key insights

• Ability to stand up data science tools and systems

• Experience with ecosystems data science or B2C/C2C marketplaces

Responsibilities:

• Support the Safety team across product areas

• Focus on the two-sided ecosystem of Creators and Users

• Design innovative, user-centered solutions

• Collaborate closely with cross-functional product teams

• Turn findings into actionable next steps and execute with engineering

Benefits:

• Competitive salary

• Equity (own a piece of the company)

• True ownership & flexibility

• Minimal bureaucracy

• AI-first culture

Education Requirements:

• Strong math skills (linear algebra and statistics)

Experience Requirements:

• Experienced Data Scientist / ML Engineer

• Foundational knowledge of NLP and LLMs

• Experience with Python, NumPy, PyTorch, Hugging Face, Flyte, or PySpark

• Past experience with entity resolution, information extraction, or document retrieval

Other Requirements:

• Startup-minded and high-performer

• Hunger for innovation

• Knowledge of how to make ML pipelines and products scale

• Fluency in English

Responsibilities:

• Work on complex, data-heavy features

• Define what a great AI-first product looks like

• Address entity resolution and information extraction

• Manage document retrieval, ranking and clustering

Responsibilities:

• Constructing and maintaining the data pipeline architecture for our customers' data

• Enabling our AI solutions to deliver actionable insights

Benefits:

• High-Impact Environment

• Technical Excellence

• Innovation at Speed

• Continuous Growth

• Clear Ownership

Education Requirements:

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

Experience Requirements:

• 2+ years of experience in a software or machine learning engineering role

• Experience using frontend frameworks (React/Redux)

• Experience with backend systems (Python, Java, GraphQL)

• Knowledge of scalable database systems (PostgreSQL, NoSQL)

Other Requirements:

• Proficiency in leveraging AI tools for development (Cursor, Copilot)

• Excellent communication and collaboration skills

Responsibilities:

• Design and ship complete end-to-end product features

• Build human-in-the-loop systems for AI training

• Implement tooling for RLHF and preference data workflows

• Leverage LLMs to assist in the review loop

• Design evaluation frameworks for multimodal models

Experience Requirements:

• 5+ years of hands-on experience in AI, Machine Learning, and Data Science

• Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning

• Experience working with OCR, ASR, and TTS applications in real-world deployments

• Proven experience deploying AI models in production at scale

• Proficiency in Python, PyTorch, and transformer-based architectures

Other Requirements:

• Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures

• Strong awareness of AI system performance benchmarks (latency, speed, throughput)

• Experience with cloud computing and containerization (Docker, Kubernetes)

• Support language-specific adaptation for Traditional Chinese, Simplified Chinese, Japanese, or Korean markets

Responsibilities:

• Develop and deploy AI models for unstructured data with a focus on enterprise-scale performance

• Fine-tune, optimize, and deploy LLMs and multimodal models integrating distributed training

• Design and implement production-ready AI solutions ensuring scalability and low-latency inference

• Build and maintain end-to-end LLM Ops pipelines for training, deployment, and monitoring

• Implement vector search and retrieval-augmented generation (RAG) systems

Experience Requirements:

• 5+ years of hands-on experience in AI, Machine Learning, and Data Science

• Expertise in LLMs, including fine-tuning, distributed training, quantization, and pruning

• Experience working with OCR, ASR, and TTS applications in real-world deployments

• Proven experience deploying AI models in production at scale

• Proficiency in Python, PyTorch, and transformer-based architectures

Other Requirements:

• Hands-on experience with vector databases and retrieval-augmented generation (RAG) architectures

• Strong understanding of cloud computing and containerization (Docker, Kubernetes)

• Deep understanding of multimodal architectures and model distillation

Responsibilities:

• Develop and deploy AI models for unstructured data with a focus on enterprise-scale performance

• Fine-tune, optimize, and deploy LLMs and multimodal models integrating distributed training

• Design and implement production-ready AI solutions ensuring scalability and low-latency inference

• Build and maintain end-to-end LLM Ops pipelines for training, deployment, and monitoring

• Implement vector search and retrieval-augmented generation (RAG) systems

Benefits:

• Equity in a fast-growing startup

• Competitive benefits package

• Flexible time off policy

• Parental Leave

• A fun-loving and nerdy team

Experience Requirements:

• 8+ years in data roles

• 3+ years leading teams

Other Requirements:

• Strong background in both data engineering and data science

• Expert SQL and Python proficiency

Responsibilities:

• Own end-to-end data platform (batch and streaming)

• Run the data warehouse with strong performance and cost management

• Build ML systems that analyze AI search behavior

• Partner with Product and GTM teams on tracking plans

• Build and lead the data team

Benefits:

• Equity in a fast-growing startup

• Competitive benefits package

• Flexible time off policy

• Parental Leave

• A fun-loving and nerdy team

Experience Requirements:

• 5+ years building production machine learning systems

• Strong background in NLP and search/recommendation systems

Other Requirements:

• Expertise across ML approaches (XGBoost, Transformers, RL)

• Proven ability to optimize models for latency and cost

Responsibilities:

• Design and deploy end-to-end machine learning systems

• Build systems that analyze AI search behavior

• Create algorithms for AI agent discovery and ranking

• Collaborate with product managers on technical solutions

Experience Requirements:

• Experienced developer, visionary designer, or product innovator

Other Requirements:

• Ownership

• Innovation

• Soulfulness

• Relentless Persistence

Benefits:

• Competitive equity (ISOs)

• Performance-based bonus

Experience Requirements:

• 3+ years shipping production-grade software

• Experience with video infrastructure (preferred)

• Experience with vector databases or high-volume data pipelines (preferred)

Other Requirements:

• Technically versatile (React, Node.js, Python)

• AI-Native Mindset

• Knowledge of GCP, Redis, MongoDB

• Comfortable troubleshooting complex network/server issues

Responsibilities:

• Rapidly ship prototypes and production releases of AI curation improvements

• Co-innovate with social media creators to validate product initiatives

• Transform research artifacts into scalable services

• Design and ship the dashboard connecting video content to ROI

• Implement semantic search using high-dimensional vector databases

Benefits:

• Learning and development reimbursement allowance

• Competitive compensation

• 100% medical, dental, and vision coverage

• 5 extra days vacation benefits

• Flexibility to take time off

Education Requirements:

• Bachelor’s degree or equivalent experience

Experience Requirements:

• 2+ years of industry-related experience in a backend or data engineering role

Other Requirements:

• Programming expertise in Python or SQL

• Experience developing and maintaining production data services

• Experience with data modeling, security, and governance

• Familiarity with modern CI/CD practices and tools

Responsibilities:

• Build, maintain and optimize critical data pipelines

• Build tools to streamline management of data ecosystem

• Architect systems for scale and security

• Architect systems for scalable machine learning workflows

• Identify innovative applications of data for products or insights

Benefits:

• Revolutionizing the antiquated $800B+ Healthcare market

• Team of 50%+ ex-founders

• Work with urgency, autonomy, and ownership

• Solve first-of-their-kind problems in AI and medicine

• Help doctors reclaim time and patients get better care

Experience Requirements:

• 7+ years of startup/founding experience

• Experience in high-intensity environments (e.g. YC-backed)

• Comfort with ambiguity

• Bias toward leverage and simplicity

Other Requirements:

• Full technical and execution ownership for domain

• Ability to translate product goals into technical plans

Responsibilities:

• Own end-to-end engineering execution for your domain

• Drive step-function latency reductions

• Design and operate robust observability and metrics

• Lead domain-specific execution rituals

• Translate product goals into clear dependencies and deliverables

Benefits:

• Revolutionizing the antiquated $800B+ Healthcare market

• Team of 50%+ ex-founders

• Work with urgency, autonomy, and ownership

• Solve first-of-their-kind problems in AI and medicine

• Help doctors reclaim time and patients get better care

Experience Requirements:

• 6+ years of software engineering

• 3+ years managing and scaling teams

• Deep integrations experience across industries

• Strong system design skills (microservices, Kafka)

• Hands-on coding in Python, Node.js, or TypeScript

Other Requirements:

• Experience at a Series A or B AI/healthcare startup

• Knowledge of HIPAA and SOC 2

Responsibilities:

• Own strategy and execution of platform integrations

• Build and scale a high-performing team

• Collaborate with Product, Clinical, and Security

• Lead design of core connectors (Epic, Cerner)

• Define and drive unified integrations strategy