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🔥 Senior/Staff Applied Scientist - Relocate to Europe!

Posted 29 minutes ago

📍 Europe

🧭 Full-Time

🔍 AI photo editing

🏢 Company: Photoroom

🔧 Requirements

3+ years of experience with PyTorch, Tensorflow or Jax, and are willing to start or keep working with PyTorch
Deep experience with diffusion models, for image creation or edition
Experience working on products requiring complex architectures

💡 Responsibilities

Work on several ML solutions, starting from the requirements, literature, all the way to a product
Own most of this process, be trusted and have your say on data acquisition, optional labelling, overall strategy and follow ups
Master the whole pipeline, from training models to putting them into production and monitoring their performance
Work on new features, new applications, and some 0→1 solutions

Image Processing Machine Learning PyTorch Algorithms Data Structures Tensorflow

Posted 29 minutes ago

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🔥 Staff Machine Learning Engineer

Posted about 3 hours ago

🧭 Full-Time

💸 185000.0 - 315000.0 USD per year

🔍 Financial Operations

🏢 Company: Ramp👥 501-1000💰 $150,000,000 Series D 11 months agoFinancial Services Finance FinTech

🔧 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and back end engineering
Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
Strong knowledge of SQL (preferably Snowflake, BigQuery)
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions

💡 Responsibilities

Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
Prototype and productionalize machine learning models and rules-based systems to protect user accounts
Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Backend Development Python SQL Machine Learning Numpy PyTorch Snowflake Data engineering Pandas Data modeling Software Engineering

Posted about 3 hours ago

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🔥 AI Engineer

Posted about 7 hours ago

📍 U.S.

🧭 Full-Time

💸 145000.0 - 198000.0 USD per year

🔍 Software Development

🏢 Company: Vizcom

🔧 Requirements

Experience working with 2D and 3D diffusion techniques.
Understanding of 3D data and AI to make it more accessible and practical.
Familiar with LLMs and can apply them to solve real problems for users.
Make systems that are efficient, scalable, and robust.
Build tools with the people using them in mind, ensuring that AI enhances their work rather than complicating it.

💡 Responsibilities

Advance systems for generating, refining, and enhancing content in 2D and 3D.
Use diffusion models to generate shapes and materials, ensuring outputs are consistent and useful for real-world design.
Build LLM-powered tools that help designers by automating repetitive tasks and providing thoughtful feedback.
Adapt AI systems to be fast, reliable, and easy to use in real-time workflows.
Ensure that 2D and 3D tools work together seamlessly, helping designers move easily between different types of projects.

Backend Development Python 3D Modeling - Rhino Artificial Intelligence Image Processing Kubernetes Machine Learning PyTorch Algorithms Data Structures Tensorflow Communication Skills Analytical Skills Problem Solving RESTful APIs JSON Software Engineering Data analytics Debugging

Posted about 7 hours ago

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🔥 Senior Machine Learning Engineer II

Posted about 12 hours ago

📍 India

🔍 Software Development

🏢 Company: Apollo.io👥 501-1000💰 $100,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

8+ years of experience building Machine Learning or AI systems
Experience deploying and managing machine learning models in the cloud
Experience working with fine tuning LLMs and prompt engineering
Strong analytical and problem-solving skills
Proven software engineering skills in production environment, primarily using Python
Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

💡 Responsibilities

Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
Understand the Machine Learning stack at Apollo and continuously improve it
Build systems that help Apollo personalize their users’ experience
Evaluate the performance of machine learning systems against business objectives
Develop and maintain scalable data pipelines that power our algorithms
Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
Write unit/integration tests and contribute to engineering wiki

Python SQL Apache Airflow Cloud Computing Data Analysis Keras Machine Learning MLFlow Numpy PyTorch Algorithms REST API Tensorflow Software Engineering

Posted about 12 hours ago

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🔥 Head of Applied AI

Posted 1 day ago

📍 United States

🔍 Life Sciences

🏢 Company: TetraScience👥 101-250💰 $80,000,000 Series B almost 4 years agoPharmaceutical Biotechnology Data Management Internet of Things Life Science Data Integration Software

🔧 Requirements

15+ years of hands on experience in building data engineering platform, and AI/ML solutions, with a substantial portion in life sciences
Proven ability to define and drive AI strategy within a life sciences organization
Proven track record of deploying AI models and Use cases in production, addressing real-world biological and other life science problems
Deep understanding of life sciences domains such as: Drug development pipelines, Assay / test method development areas such as HTS, DMPK etc., Regulatory and compliance framework
Experience in managing AI initiatives from concept to deployment
Proven track-record of success developing product strategy within a start-up environment
Strong knowledge of machine learning (ML) and artificial intelligence (AI) methods, including: Deep Learning (DL), Reinforcement Learning (RL), Natural Language Processing (NLP), Computational biology and statistical modeling
Proficiency in programming languages and tools such as Python, R, TensorFlow, PyTorch etc.
Significant experience with AWS, Services-Architecture and web-scale design patterns
Excellent communication skills to convey complex technical concepts to non-technical stakeholders
Experience in collaborating with external partners and customers
Ability to advocate and evangelize for AI initiatives internally and externally

💡 Responsibilities

Own, define, and execute the technical and product vision for Applied AI solutions
Support and advise executive leadership regarding technical and commercial feasibility
Identify business opportunities and develop AI-driven solutions
Understand the commercial impact of AI in life sciences (e.g., improving R&D efficiency, reducing costs, accelerating time-to-market)
Provide key inputs into technology evaluation and technology planning activities
Provide thought leadership and represent TetraScience at industry and technology conferences
Collaborate with the customers and productize solutions
Collaborate with cross functional teams to build and evangelize the solutions
Provide hands on technical leadership for the SAIL (Scientific AI Leadership) team

AWS Backend Development Leadership Project Management Python SQL Artificial Intelligence Cloud Computing Machine Learning Product Management PyTorch Software Architecture Cross-functional Team Leadership Data engineering Data science Tensorflow Communication Skills RESTful APIs Microservices Strategic thinking Data modeling

Posted 1 day ago

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🔥 Senior AI Architect

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 118000.0 - 231000.0 USD per year

🔍 Software Development

🏢 Company: MongoDB👥 1001-5000💰 Post-IPO Equity about 7 years agoDatabase Open Source Cloud Computing SaaS Software

🔧 Requirements

5+ years of progressive hands-on experience in any of the following; solution architecture, enterprise architecture, data science, AI/ML and/or software development, including 2+ years of hands-on experience in designing, building, and delivering AI-powered solutions, with a deep focus on GenAI technologies
Demonstrated thought and technical leadership in AI/GenAI technologies with experience in presenting from conferences to the board room, you have the ability to influence AI strategy and advocate best practices at C-suite whilst hands on to demonstrate the value of your ideas
Experience of building cloud-native applications using modern methodologies, test-first development, CI/CD pipelines, and microservices architectures
Good understanding of LLM architectures, vectorisation, and experience in designing Retrieval-Augmented Generation (RAG) systems for real-time applications with hands-on experience in AI/ML frameworks and tools, for example, Llamaindex, Hugging Face, LangGraph, LangChain, Pydantic, Cursor, TensorFlow, and PyTorch
Experience with cloud AI services (AWS Bedrock, Azure AI, GCP Vertex AI)
Proficiency in at least one modern programming language (ideally Python), with experience in one other modern language a plus (e.g., Node.js, Java, C#)
Experience in deploying cutting-edge GenAI technologies and LLMs, driving innovation in high-uncertainty projects
Ability to connect AI solutions to business outcomes, driving measurable value through data-driven innovation and strategic technology integration
Strong communication and leadership skills, with the ability to inspire confidence, challenge assumptions, and influence executive stakeholders
Proven ability to lead agile teams, driving backlog grooming, sprint planning, and showcases in collaboration with Product Owners and cross-functional teams
Ability to work remotely with a willingness to travel (up to 20%) for high-impact, in-person customer engagements

💡 Responsibilities

Take an “AI First” mindset, leveraging the latest GenAI technologies and solution partners to design, prototype, and implement high-impact AI solutions that solve real customer problems and drive tangible business value
Jump into customer scenarios, understanding their use case, scoping effort in supporting customers and rapidly ideate what the solution should be, innovating quickly and demonstrating the value of our technology and services
Engage directly with C-suite customer stakeholders, addressing complex business challenges through AI concepts and solutions, ensuring alignment on solution design and delivery
Quickly build prototypes and proofs of concepts using GenAI-assisted development tools, showcasing the art of the possible to customers and iterating based on feedback
Own the end-to-end design and delivery of scalable AI architectures, from data pipelines to model deployment, ensuring performance, security, and scalability at every step
Write production-quality code in modern languages (e.g., Python, Node.js, Java) to build, fine-tune, and deploy RAG architectures, LLMs and AI models, using frameworks like LangChain, TensorFlow, PyTorch, and Hugging Face
Architect data pipelines and modern data layers using MongoDB Atlas Vector Search, enabling real-time, AI-driven applications
Provide authoritative technical direction to delivery teams, ensuring architectural consistency and high-quality AI solutions that align with customer objectives
Define scope, estimate effort, and deliver product increments that align with customer business priorities, ensuring high-velocity, outcome-focused delivery
Stay ahead of the curve by experimenting with emerging GenAI techniques, optimizing development processes, and driving the adoption of best practices in responsible AI
Contribute to ongoing development of a repository of reusable solution components, including reference architectures, GenAI blueprints, and AI-driven application modules, to accelerate delivery
Actively participate in the MongoDB and GenAI communities, sharing insights, driving best practices, and influencing the direction of AI-driven solutions

AWS Leadership Node.js Python Software Development Artificial Intelligence Cloud Computing Java Kubernetes Machine Learning MongoDB PyTorch Software Architecture Data science REST API Tensorflow Communication Skills CI/CD Agile methodologies DevOps Microservices

Posted 1 day ago

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🔥 Principal Machine Learning Engineer - Large Scale Embedding - (Remote - US)

Posted 1 day ago

📍 United States

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

15+ years of technical leadership experience in machine learning and AI.
Proven ability to lead ML initiatives and communicate complex ideas effectively to cross-functional teams.
Expertise in Graph Neural Networks, collaborative filtering, knowledge graphs, and recommendation systems.
Strong coding proficiency in Python, with experience in ML frameworks like PyTorch Geometric, DGL, TensorFlow, and scikit-learn.
Solid understanding of ML infrastructure components and libraries for efficient distributed training and inference.

💡 Responsibilities

Lead the design and architecture of multi-entity embedding generation using GNN and transformers.
Define the technical roadmap, working with cross-functional partners to align execution plans.
Develop and optimize large-scale graph-based machine learning pipelines for recommendation systems.
Ensure scalable and efficient architectures for processing complex, interconnected data.
Collaborate with internal teams to improve relevance metrics and extend the use of models in upstream functions.
Mentor and support the growth of your team while contributing to overall product strategy.

Python Machine Learning MLFlow PyTorch Algorithms Data Structures Tensorflow Data modeling

Posted 1 day ago

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🔥 Staff Machine Learning Engineer, Inclusive AI

Posted 1 day ago

📍 United States

💸 233302.0 - 480328.0 USD per year

🔍 Software Development

🔧 Requirements

Experienced Engineer with production experience in ML and responsible technology (fairness, diversity, equity) deployments in production systems.
Familiarity with state of the art ML approaches, especially within the Search and RecSys space, such as transformer based architectures, n-tower architectures, LLMs, etc.
Hands-on experience building, deploying, and measuring ML Fairness at a very large scale. Successful candidates in this role need to be able to bridge state of the art approaches to real world impact.
Some experience in leadership roles where the candidate has been able to define a vision, strategy and plans, with concrete OKRs and execute on them to deliver solutions in production that have a positive impact for users.
8+ years working experience in the engineering teams that build large-scale ML-driven user-facing products.
3+ years experience leading cross-team engineering efforts.
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Experience in working on backend and ML systems for large-scale user-facing products, and have a good understanding of how they all work.
Experience in closely collaborating with other engineering teams to ship ML technologies to improve fairness and reduce bias for recommendation, content understanding, and ranking systems at scale.

💡 Responsibilities

Lead projects in the responsible AI frontier, to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest including generative AI.
Collaborate with other engineering teams (infra. user modeling, content understanding) to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Inclusive AI and ML Fairness tooling across Pinterest.
Mentor junior engineers on the Inclusive AI team and across the company on the Inclusive AI / ML Fairness space.
Work with the team and senior leaders at the company to define and drive technical strategy in this area.

AWS Backend Development Leadership Python Software Development SQL Artificial Intelligence Cloud Computing Data Analysis Image Processing Keras Machine Learning MLFlow Numpy PyTorch Cross-functional Team Leadership Algorithms Data Structures REST API Tensorflow Mentoring

Posted 1 day ago

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🔥 Senior ML/NLU Engineer - Solventum

Posted 1 day ago

📍 United States

💸 119076.0 - 145537.0 USD per year

🔍 Software Development

🔧 Requirements

Five (5) years of software development experience using one or more of the following: Java or Python
Two (2) years of experience with containerization technology such as Docker, Kubernetes or AWS ECS

💡 Responsibilities

Design, develop, and maintain scalable cloud-based ML systems, ensuring reliability and performance in production environments.
Integrate ML systems into existing NLU pipelines to enhance functionality and accuracy.
Collaborate closely with Clinical Subject Matter Experts, Application Engineers, and Product Teams to support the end-to-end execution of ML-based solutions.

Docker Python Software Development SQL Agile Git Java Kubernetes Machine Learning MLFlow PyTorch Data science Tensorflow RESTful APIs Software Engineering

Posted 1 day ago

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🔥 Practice Director, Data & AI - US-Based

Posted 4 days ago

📍 United States

🧭 Full-Time

🔍 Data & AI

🔧 Requirements

15+ years of experience in your practice, with preferably 5+ years in a leadership role within data and AI-focused services.
3+ years managing a business, preferably with P&L responsibility, and proven track record for overseeing financial performance, identifying areas for improvement, and driving profitability and growth.
Strong knowledge of data management, AI governance, machine learning, and AI-driven analytics techniques and technologies, and Generative AI (e.g., large language models, fine-tuning, retrieval-augmented generation).
In-depth knowledge of statistical methodologies, deep learning algorithms, and AI applications in real-world business contexts.
Proficiency in using AI and data science tools (e.g. Python, TensorFlow, PyTorch, SQL, Tableau, etc.).
Experience in marketing, finance, healthcare, or e-commerce industries.
Experience packaging, pricing, and delivering compelling solutions.
Passion for AI innovation and ability to drive thought leadership in the field.

💡 Responsibilities

Strategy: Which clients and buyers do we target, and what problems do we help them solve.
Offering Development: Develop attractive, scalable offerings that resonate with specific customer segments.
Go-to-Market: Take services and offerings to market; first, by leading from the front to establish product-market fit with our clients, and then by working with our Practices Operations team to scale adoption and the commercial impact of offerings.
Marketing: Develop thought leadership and campaigns that highlight our competitive differentiation, elevate our reputation in the market, attract great talent to our network, and generate leads for sales.
Sales: Understand current and future demand and enable, educate, and directly support the salesforce to position this practice best. Lead client conversations, presenting Toptal’s point-of-view and asking exploratory questions to understand client needs better.
Managing the Business: Lead the business from a sales, revenue, and profitability perspective by understanding the key P&L levers.
Delivery: Drive the success of consulting projects by owning both sales and delivery end-to-end. Lead and inspire high-performing teams, craft innovative frameworks, and take an active role in delivering impactful results. You’ll seamlessly blend sales and execution to create exceptional client outcomes.
Talent: Ensure our talent network is prepared to meet the demands of the market (e.g., the right skills in the right capacities) as well as foster an ongoing sense of community amongst the network of professionals in this practice area.

AWS Leadership Python SQL Artificial Intelligence Business Development Business Intelligence Cloud Computing Data Analysis ETL Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Sales experience Data visualization Marketing Strategic thinking Financial analysis Data modeling Data management

Posted 4 days ago

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