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🔥 Senior ML Researcher, Applied Machine Learning

Posted 4 days ago

📍 USA

💸 175000.0 - 225000.0 USD per year

🔧 Requirements

Expertise in ML Model Training and Optimization
Deep Knowledge of Language Model Fine-Tuning
Proficiency in ML Frameworks
Programming Skills
Research Communication Skills
Educational Background
Impactful ML Solution Delivery

💡 Responsibilities

Lead ML Research and Development
Architect Novel Training and Fine-Tuning Methodologies
Evaluate Model Performance and Innovation
Feedback System Design for Continuous Learning
Cross-Functional Collaboration
Stay Current on ML Advancements
Mentor and Guide Team Members

AWS Python Machine Learning MLFlow NLTK Numpy PyTorch Algorithms API testing Data science Data Structures REST API Tensorflow CI/CD RESTful APIs Research

Posted 4 days ago

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🔥 Research Engineer, Applied AI

Posted 14 days ago

📍 U.S.

🧭 Full-Time

💸 200000.0 - 400000.0 USD per year

🔍 Software Development

🏢 Company: Limitless

🔧 Requirements

Proven ability to work with both foundation models (e.g. Whisper, GPT, BERT) and traditional ML, with a track record of shipping features powered by your work.
Familiarity with the quirks of real-world audio, ASR, diarization, or related fields will help you ramp quickly and spot real-world edge cases.
You understand when “good enough” really is, and when a product or user need demands deeper research or better performance.
You’re energized by ownership, speed, ambiguity, and impact; not by long roadmaps and red tape.
You know how to trace a problem from raw data to model behavior to user impact, and back again.

💡 Responsibilities

Design and implement novel solutions that power core experiences in the Limitless ecosystem, particularly in audio processing, transcription, summarization, and context-aware reasoning.
Own end-to-end ML experiments, from prototype to product, and ship research that moves the needle on tangible product outcomes.
Work closely with engineering and product teams to translate user needs into deeply useful AI-powered features.
Define success metrics for your models, run experiments, and iterate fast based on user and system feedback.

AWS Python Artificial Intelligence Data Analysis Machine Learning NLTK Numpy OpenCV Product Management Cross-functional Team Leadership Product Development Algorithms Data science Data Structures React Tensorflow Communication Skills Analytical Skills CI/CD Agile methodologies RESTful APIs DevOps Research Software Engineering

Posted 14 days ago

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🔥 Manager, AI, Infrastructure, & Tooling

Posted about 1 month ago

📍 United States

🧭 Full-Time

💸 164000.0 - 288000.0 USD per year

🔍 Software Development

🏢 Company: Figma

🔧 Requirements

3+ years experience in people management, ideally developing technical strategies within a support tool environment
Experience in implementing AI and automation solutions (e.g., AI chatbots, co-pilots, and AI agents) for Product Support teams
Expertise in writing prompts and conversational flows, optimizing content frameworks, and improving performance key metrics (e.g., deflection, customer satisfaction)
Proven leadership success with initiatives involving technical and content teams, including driving alignment on project scope, crafting implementation plans, and resolving blockers
Strong analytical mindset with the ability to interpret and simplify complex data, and then craft compelling narratives that empower stakeholders to achieve high-quality outcomes
Exceptional communication skills, with a proven ability to influence stakeholders and leaders across the business, build strong business cases, and align teams with competing priorities
Experience developing robust experiment frameworks to continuously optimize technology stacks

💡 Responsibilities

Define and lead the tooling and automation strategy for the Product Support organization, owning the technical roadmap and driving the implementation of innovative solutions—such as AI chatbots, agent copilots, and workflow automations—to address critical customer and business needs.
Analyze support data, metrics and team feedback to uncover trends and identify opportunities for continuous improvement in our tooling ecosystem - enhancing both the employee experience and customer satisfaction.
Deliver reporting and insights on tooling performance, highlighting impact, informing strategic decisions, and driving process optimization across the organization.
Lead cross-functional initiatives across Internal Tools, Security and Product Support by building business cases, defining technical requirements and delivering scalable solutions that improve the tooling experience and customer-facing capabilities.
Develop and execute change management and communication strategies to ensure successful adoption of new tools and processes, driving alignment and engagement across stakeholder teams.
Create and maintain critical documentation, including but not limited to: playbooks, governance documents, and technical diagrams, to support the effective deployment and ongoing success of technology solutions.
Act as a subject matter expert in emerging technologies, staying current on advancements in conversational AI, large language models (LLMs), NLP frameworks, and machine learning applications relevant to Product Support.

AWS Project Management Python SQL Artificial Intelligence Machine Learning NLTK Cross-functional Team Leadership Communication Skills Analytical Skills CI/CD Strategic thinking Change Management

Posted about 1 month ago

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🔥 Technical Lead- AI/ML Engineer

Posted about 1 month ago

📍 Worldwide

🔍 Software Development

🔧 Requirements

8+ years of experience in building AI models with ML, NLP and deep learning.
Strong leadership, interpersonal skills, and ability to effectively communicate technical concepts to non-technical stakeholders.
Strong knowledge of AI/ML techniques, algorithms, and frameworks. Experience building and deploying ML models (classification, NLP, forecasting).
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn.
Solid understanding of machine learning concepts, algorithms, and statistical methods.
Experience with computer vision libraries (OpenCV, etc.) and NLP libraries (spaCy, Hugging Face, etc.).
Knowledge of MLOps practices and experience with CI/CD tools.
Good understanding of using LLMs via APIs or fine-tuning open-source models.
Hands-on with data prep (Pandas, Spark), feature engineering, model training and tuning.
Knowledge of vector stores, embeddings, and LLMOps tools (LangChain, LlamaIndex, etc.).
Experience with at least one cloud platform and CI/CD for ML (GitHub Actions, MLflow, etc.).
Exposure to monitoring frameworks (evidently.ai, whylogs, or custom dashboards).
Proven ability to work independently and with a team.

💡 Responsibilities

Lead a team of AI ML engineers, providing technical guidance, mentorship, and support.
Collaborate directly with client teams to understand business problems, explain technical solutions clearly, and lead the implementation of AI/ML features while representing 3Pillar’s technical excellence.
Lead technical execution of AI/ML projects from experimentation to production.
Translate business problems into AI/ML solutions and manage solution delivery.
Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage.
Collaborate with product, data engineering, and software teams for integrated delivery.
Conduct code reviews, ensure best practices, and contribute to model deployment pipelines.
Maintain documentation and model governance as per responsible AI standards.
Define project goals, scope, and deliverables in collaboration with stakeholders.
Create scalable architecture and robust machine learning systems that meet business objectives of a software product.
Collaborate with cross-functional teams to integrate machine learning solutions into existing products and workflows.
Establish best practices and standards for machine learning development within the organization.
Monitor and evaluate the performance of machine learning models in production and implement improvements as needed.
Stay updated on industry trends and advancements in machine learning technologies.
Implement, deploy, optimize AI/ML algorithms and models into production environments.
Conduct experiments, perform data analysis, and present findings to stakeholders.

AWS GraphQL Leadership Python Artificial Intelligence Cloud Computing Data Analysis GCP Git Machine Learning NLTK OpenCV PyTorch Algorithms Azure Data engineering Data science Pandas Spark Tensorflow Communication Skills CI/CD Problem Solving RESTful APIs Mentoring Excellent communication skills Data visualization Team management Stakeholder management Data modeling

Posted about 1 month ago

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🔥 AI Engineer (UK)

Posted about 2 months ago

📍 United Kingdom

🧭 Full-Time

🔍 SaaS

🏢 Company: Vable👥 11-50💰 $1,000,000 Seed about 9 years agoInternet SaaS Information Technology Software

🔧 Requirements

Minimum 3 years experience of polyglot software engineering (full stack with a focus on Java) with a desire to develop and grow.
Proficiency in Python programming language and experience with ML frameworks like TensorFlow or PyTorch, and NLP frameworks like NLTK and spaCy.
Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects.
Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.
Hands-on experience with Natural Language Processing (NLP).
Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.

💡 Responsibilities

Build and improve AI/NLP models for things like summarisation, or recommendations using Python (spaCy, NLTK, etc.).
Collaborate with Engineers, Product and CS to figure out how AI features can solve actual customer problems.
Evaluate models & iterate using precision/recall, confusion matrices, or manual spot checks.
Contribute to architecture discussions for scaling AI features into production.
Write clean, testable code in both Java and Python
Own your projects . Autonomy is real at Vable. You’ll get direction, but it’s on you to drive it forward.

Python Artificial Intelligence Full Stack Development Java Machine Learning NLTK PyTorch Algorithms Data science REST API Tensorflow Analytical Skills Written communication Excellent communication skills Software Engineering

Posted about 2 months ago

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🔥 AI Engineer

Posted about 2 months ago

📍 Lviv Oblast, Ukraine

🧭 Full-Time

🔍 SaaS

🏢 Company: Vable👥 11-50💰 $1,000,000 Seed about 9 years agoInternet SaaS Information Technology Software

🔧 Requirements

Bachelor’s or Master’s degree in Software Engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
Minimum 3 years experience of polyglot software engineering (full stack with a focus on Java) with a desire to develop and grow.
Proficiency in Python programming language and experience with ML frameworks like TensorFlow or PyTorch, and NLP frameworks like NLTK and spaCy.
Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects.
Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.
Hands-on experience with Natural Language Processing (NLP).
Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.
Excellent written and spoken English.

💡 Responsibilities

Build and improve AI/NLP models for things like summarisation, or recommendations using Python (spaCy, NLTK, etc.).
Collaborate with Engineers, Product and CS to figure out how AI features can solve actual customer problems.
Evaluate models & iterate using precision/recall, confusion matrices, or manual spot checks.
Contribute to architecture discussions for scaling AI features into production.
Write clean, testable code in both Java and Python
Own your projects. Autonomy is real at Vable. You’ll get direction, but it’s on you to drive it forward.

Python SQL Full Stack Development Java Machine Learning NLTK PyTorch Tensorflow RESTful APIs Software Engineering

Posted about 2 months ago

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🔥 Machine Learning Engineer, Agentic AI Solutions (Scientific Research Platform)

Posted about 2 months ago

📍 Serbia

🧭 Full-Time

🔍 Software Development

🏢 Company: Constructor TECH

🔧 Requirements

3+ years developing production‑scale ML/AI systems, ideally involving agentic or multi‑agent frameworks.
Proven track record with LLMs (e.g., GPT, T5), RAG architectures, and knowledge graph technologies.
Expert in Python; familiarity with Rust, Go, or TypeScript a plus.
Frameworks & Libraries: PyTorch or TensorFlow; LangChain, LlamaIndex, Haystack, or similar.
Data & Infrastructure: Elasticsearch, Neo4j or other graph databases; Docker, Kubernetes; AWS/GCP/Azure.
Tooling: RESTful APIs, gRPC, message queues (e.g., RabbitMQ, Kafka).

💡 Responsibilities

Architect and implement a modular, microservices‑based agentic AI platform supporting multi‑agent orchestration.
Develop robust APIs and SDKs enabling seamless integration of AI assistants and external tools (e.g., literature databases, simulation engines).
Build and integrate autonomous agents leveraging large language models (LLMs), retrieval‑augmented generation, and reinforcement learning for task planning and execution.
Incorporate specialized tools for: Literature Research: automated document retrieval, semantic search, summarization; Knowledge Mapping: dynamic knowledge graph construction, entity linking, relationship inference; Gap Finding & Hypothesis Generation: algorithmic identification of under-explored research areas; Computational Research Pipelines: integration with simulation, statistical, and data‑analysis tools (e.g., Jupyter, SciPy, custom workflows); Results Analysis & Publication: data visualization modules, automated report and manuscript drafting.
Fine‑tune and benchmark LLMs, graph neural networks, and other deep learning architectures for domain‑specific tasks.
Implement efficient inference pipelines, caching strategies, and batching for real‑time interactivity.
Work in cross‑functional Agile teams; participate in design reviews, sprint planning, and code reviews.
Ensure high code quality, unit/integration testing, and continuous integration/deployment (CI/CD).
Document system designs, APIs, and operational runbooks.

AWS Docker Python ElasticSearch Flask GCP Kafka Kubernetes Machine Learning NLTK Numpy OpenCV PyTorch Rabbitmq TypeScript Algorithms Data science Go gRPC Pandas Rust Tensorflow CI/CD RESTful APIs Microservices Data visualization

Posted about 2 months ago

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🔥 Data Scientist (R&D Project)

Posted about 2 months ago

📍 United States, UK

🧭 Temporary

💸 105000.0 - 145000.0 USD per year

🔍 Scientific Publishing

🏢 Company: Public Library of Science

🔧 Requirements

Extensive experience in statistical modeling, machine learning, and data mining techniques, with a focus on applications in text analysis or scientific data, including knowledge of forecasting, A/B testing, entity extraction, and feature engineering.
Proficiency in programming languages such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse).
Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK).
Experience with NLP techniques, such as named entity recognition (NER), topic modeling, semantic similarity, and knowledge graph construction.
Demonstrated ability to communicate complex technical findings clearly and effectively, both verbally and in writing, through reports and presentations to diverse audiences.
Strong analytical and problem-solving skills, with a high degree of attention to detail and accuracy in handling scientific data.
Experience working with large datasets and database systems, and ideally with scientific content repositories or publishing platforms.
Familiarity with the scientific research environment, scholarly literature, and open science principles are an advantage.
Able to develop hypotheses based on quantitative and qualitative evidence
Experience working with solid development practices, git, CI etc.
Ability to work effectively both independently and collaboratively within a remote, agile team environment.

💡 Responsibilities

Create and use machine learning models, statistical analysis, natural language processing to improve scientific content workflows, enhance discoverability, and support Open Science initiatives.
Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity.
Build and test predictive models and machine learning algorithms for tasks such as entity extraction, workflow automation, and enhancing the understanding of scientific content.
Visualize and present findings in a clear, concise, and compelling manner to both technical and non-technical audiences.
Work as part of a cross-functional team, contributing insights, models and code and deploying production services that improve our use of data.
Collaborate with editorial, marketing, product, and colleagues across PLOS to understand data needs and translate business requirements into analytical solutions that enable new open science capabilities.
Contribute to the development of data strategies and best practices within the organization and identify opportunities for workflow optimization and automation.
Engage with the latest research and trends in data science, Open Science, and scholarly publishing, proactively identifying opportunities to apply innovative techniques and refine best practices.
Consider the ethical implications of all data techniques as applied to our data, always ensuring that they are appropriate, take into account the potential for negative impact and do not bias research.

Python SQL Data Analysis Data Mining Git Machine Learning NLTK Numpy PyTorch Algorithms Data engineering Pandas Tensorflow CI/CD Data visualization Data modeling A/B testing

Posted about 2 months ago

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🔥 AI Trainer - Advanced Mathematicians (US)

Posted about 2 months ago

📍 United States, Canada

🔍 AI

🏢 Company: Prolific

🔧 Requirements

Advanced Maths skills and ideally a degree in a Maths related field
A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool
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 Paypal account to receive payment from our clients*

💡 Responsibilities

Completing AI training tasks such as analyzing, editing, and writing Maths
Judging the performance of AI in performing Math-related prompts
Improving cutting-edge AI models

Differential Equations Image Processing Machine Learning NLTK Numpy Algorithms Data Structures Analytical Skills Attention to detail Data modeling

Posted about 2 months ago

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🔥 Staff Software Engineer, ML Understanding

Posted about 2 months ago

📍 Ireland, the Netherlands, the United Kingdom

🧭 Full-Time

🔍 Software Development

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F almost 4 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

7+ years of relevant experience as a software engineer involved in projects related with natural language processing and AI models integration in products.
Strong background in Python programming and some experience with deep learning frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
Expertise in distributed training frameworks (e.g., Ray Training, PyTorch Distributed), and efficient utilization of hardware resources.
Proficiency in data preprocessing, tokenization, embeddings, and language modeling techniques.

💡 Responsibilities

Lead the design, development, and maintenance of the backend and data infrastructure for efficient, accurate, and optimized deployment of AI / ML based systems.
Architect and implement scalable AI / ML based solutions that can handle both the long term growth in the size of our data, and the scalability of the support in accessing it across a growing number of needs within the company
Collaborate with other teams and functions to work towards consolidating all insights about Reddit’s data to be powered by the same platform.
Oversee data storage, retrieval, indexing, and query optimization strategies to ensure fast and reliable access to our data. This may include migrating the data to the right datastore given the company’s growing needs
Collaborate with cross-functional teams to gather requirements, define system architectures and support system development.
Provide technical guidance and mentorship to engineers on the team, fostering a culture of learning and innovation.
Proactively identify technical challenges and propose innovative solutions that align with the team's goals.

AWS Backend Development Python Artificial Intelligence Machine Learning NLTK Numpy PyTorch Software Architecture Algorithms API testing Data engineering Data science Data Structures REST API Tensorflow RESTful APIs Software Engineering Data management

Posted about 2 months ago

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