400 Posti di lavoro per Riconoscimento Degli Oggetti in Italia

Join to apply for the Senior Deep Learning Engineer role at Fineco Bank

1 week ago Be among the first 25 applicants

Fineco Bank is a leading European bank with a 20-year history and a fully digital DNA with a branchless approach since the start. Fineco offers a wide range of products including trading, investment, and payment services through a proprietary platform covering trading listed and OTC products, mutual funds, ETFs, and banking solutions for domestic and international clients.

We are seeking a highly qualified Senior Deep Learning Engineer to join our AI team. The ideal candidate will have strong experience in neural networks, transformers, and large language models (LLMs). Responsibilities include developing innovative projects focused on pre-trained models and end-to-end training of neural networks with Encoder or Decoder architectures.

1. Design, develop, and implement advanced deep learning models.
2. Conduct end-to-end training of neural networks using Encoder or Decoder architectures.
3. Optimize model performance and efficiency.
4. Collaborate with other teams to integrate AI solutions into company products.
5. Stay updated on the latest technologies and trends in deep learning.

1. Degree in Computer Science, Engineering, or related field.
2. Proven experience in developing and training deep learning models.
3. Deep knowledge of neural networks, transformers, and LLMs.
4. Experience with Encoder and Decoder architectures.
5. Documented experience in a corporate environment, preferably banking.
6. Ability to analyze, implement, and present results to business stakeholders.
7. Experience with computer vision or multimodal models.
8. Ability to work independently and in teams.
9. Excellent problem-solving and analytical skills.
10. Proficiency in Python and deep learning frameworks like PyTorch.

• Opportunity to work on innovative and cutting-edge projects.
• Dynamic and collaborative work environment.
• Professional growth and continuous training opportunities.
• Competitive salary package and corporate benefits.

Milano (alternating presence in the office and smart working)

Fineco Group is proud to be an Equal Opportunity Employer, committed to creating a safe and inclusive work environment based on mutual respect and diversity, offering equal employment opportunities. Fineco: The Place To Be.

Junior/Senior/Lead Deep Learning Scientist

Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.

Our progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. We invest heavily in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations.

The ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Multimodal Foundation Models. Additionally, they should be capable of coordinating technical, communication, and team activities.

We recruit at different levels of seniority for this project and expect corresponding professional experience and demonstrated maturity to lead projects and teams for the more senior roles.

Translated has just been awarded a grant on DVPS, a 29M€, 4-year collaborative research project starting in July 2025, which Translated leads. DVPS develops the science of multimodal foundation models and deploys them on problems in Earth observation, language and cardiology. DVPS stands for the project's motto " Diversibus Viis Plurima Solvo" , "Through various paths, I solve many problems".

The project is endowed with computing resources matching its ambition. We estimate it will run on 30M GPU-hours provided by EuroHPC, running on the major Exascale and Petascale compute infrastructure in Europe.

For maximum impact, all research outcomes of DVPS, such as trained models, datasets, evaluation benchmarks, will be open-sourced on HuggingFace.

You will be part of a team of researchers dedicated to DVPS within Translated's AI Research team, which works on several pieces of technology such as Large Language Models, machine translation, speech foundation models, privacy-preserving machine learning. The AI Research team collaborates closely with product and engineering teams and develops the technology to power Translated's next generation of products.

In this role, you will:

• work with data, compute and algorithms
• design of deep learning multimodal neural architectures
• design experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations
• monitor and benchmark the state of the art
• have the opportunity to give guidance to more junior team members such as PhD students and interns
• coordinate with our partners on our research roadmap
• adapt the project's pace to the rapid scientific development in our field
• organize publications and open-sourcing efforts

• Junior
  • Master's degree in AI, Computer Science, Deep Learning
  • demonstrated research and work interests in foundation models
• Senior
  • completed PhD or 4 years of industry research experience in a relevant field of deep learning, machine learning, either applied (preferably language, clinical medicine, Earth observation, robotics, vision, audio)
  • experience guiding junior researchers, defining a research project and experiments
• Lead
  • as Senior, with 3 years of directly relevant industry or academic research experience
  • experience in coordinating a team of researchers and defining roadmaps
• excellent programming skills: Pytorch
• familiarity with Docker and Unix OS, including running GPU experiments
• interest in carrying out experimental research
• relevant scientific publications, teaching and research experience
• excellent command of English
• you're strong in GPU training and inference optimization
• you're a polyglot
• you have open-source contributions
• you have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV

Translated is hosted at Pi Campus, a working environment immersed in nature where luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Our working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. You will be surrounded by innovators and experts working at Pi Campus , a venture fund and startup ecosystem. A great environment to grow your skills.

• Tech and entrepreneurship talks and events
• Gym
• Swimming Pool
• Kickboxing
• Water aerobics
• Fitness
• Pilates
• Table Tennis and Football table
• Kitchen and snacks
• Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.

At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

About Translated

Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from private individuals to large companies like Uber and Airbnb.

Our progress is powered by leveraging scientific progress and the synergy between humans and machines. We invest in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, delivering innovations quickly to production to impact operations.

The ideal candidate should have enthusiasm for contributing to the design and implementation of Multimodal Foundation Models and be capable of coordinating technical, communication, and team activities.

We recruit at different levels of seniority for this project and expect corresponding professional experience and maturity to lead projects and teams for more senior roles.

Translated has been awarded a grant on DVPS, a 29M€ 4-year collaborative research project starting in July 2025, which Translated leads. DVPS develops the science of multimodal foundation models and deploys them on problems in Earth observation, language and cardiology. DVPS stands for the motto "Diversibus Viis Plurima Solvo", meaning, "Through various paths, I solve many problems".

The project is endowed with computing resources to match its ambition. We estimate it will run on 30M GPU-hours provided by EuroHPC, using major Exascale and Petascale compute infrastructure in Europe.

For maximum impact, all research outcomes of DVPS, such as trained models, datasets, and evaluation benchmarks, will be open-sourced on HuggingFace.

You will be part of a team of researchers dedicated to DVPS within Translated's AI Research team, which works on Large Language Models, machine translation, speech foundation models, and privacy-preserving machine learning. The AI Research team collaborates closely with product and engineering teams to power Translated's next generation of products.

In this role, you will:

• work with data, compute and algorithms
• design deep learning multimodal neural architectures
• design experiments, implement them in code, run them on large (GPU HPC) compute, and run evaluations
• monitor and benchmark the state of the art
• have the opportunity to guide junior team members such as PhD students and interns
• coordinate with our partners on the research roadmap
• adapt the project's pace to rapid scientific development
• organize publications and open-sourcing efforts

• Junior
  • Master's degree in AI, Computer Science, Deep Learning
  • demonstrated research and work interests in foundation models
• Senior
  • completed PhD or 4 years of industry research experience in a relevant field of deep learning or ML (applied fields such as language, clinical medicine, Earth observation, robotics, vision, or audio)
  • experience guiding junior researchers, defining a research project and experiments
• Lead
  • as Senior, with 3 years of directly relevant industry or academic research experience
  • experience coordinating a team of researchers and defining roadmaps
• excellent programming skills: PyTorch
• familiarity with Docker and Unix OS, including running GPU experiments
• interest in carrying out experimental research
• relevant scientific publications, teaching and research experience
• excellent command of English

• strong in GPU training and inference optimization
• polyglot
• open-source contributions
• published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV

Translated is hosted at Pi Campus, a working environment immersed in nature where luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Our working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. You will be surrounded by innovators and experts at Pi Campus, a venture fund and startup ecosystem. A great environment to grow your skills.

• Tech and entrepreneurship talks and events
• Gym
• Swimming Pool
• Kickboxing
• Water aerobics
• Fitness
• Pilates
• Table Tennis and Football table
• Kitchen and snacks
• Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child

Learn more about our company: translated.com/work-at-translated-onboarding

At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We are an inclusive and equal-opportunity employer committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

• Location: Rome, Rome, Italy
• Type: Full Time
• Experience: Entry Level
• Department: AI Research

Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.

Our progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. We invest heavily in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations.

The ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Multimodal Foundation Models. Additionally, they should be capable of coordinating technical, communication, and team activities.

We recruit at different levels of seniority for this project and expect corresponding professional experience and demonstrated maturity to lead projects and teams for the more senior roles.

Translated has just been awarded a grant on DVPS, a 29M€, 4-year collaborative research project starting in July 2025, which Translated leads. DVPS develops the science of multimodal foundation models and deploys them on problems in Earth observation, language and cardiology. DVPS stands for the project's motto " Diversibus Viis Plurima Solvo" , "Through various paths, I solve many problems".

The project is endowed with computing resources matching its ambition. We estimate it will run on 30M GPU-hours provided by EuroHPC, running on the major Exascale and Petascale compute infrastructure in Europe.

For maximum impact, all research outcomes of DVPS, such as trained models, datasets, evaluation benchmarks, will be open-sourced on HuggingFace.

You will be part of a team of researchers dedicated to DVPS within Translated's AI Research team, which works on several pieces of technology such as Large Language Models, machine translation, speech foundation models, privacy-preserving machine learning. The AI Research team collaborates closely with product and engineering teams and develops the technology to power Translated's next generation of products.

In this role, you will:

• work with data, compute and algorithms
• design of deep learning multimodal neural architectures
• design experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations
• monitor and benchmark the state of the art
• have the opportunity to give guidance to more junior team members such as PhD students and interns
• coordinate with our partners on our research roadmap
• adapt the project's pace to the rapid scientific development in our field
• organize publications and open-sourcing efforts

• Junior
  • Master's degree in AI, Computer Science, Deep Learning
  • demonstrated research and work interests in foundation models
• Senior
  • completed PhD or 4 years of industry research experience in a relevant field of deep learning, machine learning, either applied (preferably language, clinical medicine, Earth observation, robotics, vision, audio)
  • experience guiding junior researchers, defining a research project and experiments
• Lead
  • as Senior, with 3 years of directly relevant industry or academic research experience
  • experience in coordinating a team of researchers and defining roadmaps
• excellent programming skills: Pytorch
• familiarity with Docker and Unix OS, including running GPU experiments
• interest in carrying out experimental research
• relevant scientific publications, teaching and research experience
• excellent command of English
• you're strong in GPU training and inference optimization
• you're a polyglot
• you have open-source contributions
• you have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV

Translated is hosted at Pi Campus, a working environment immersed in nature where luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Our working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. You will be surrounded by innovators and experts working at Pi Campus , a venture fund and startup ecosystem. A great environment to grow your skills.

• Tech and entrepreneurship talks and events
• Gym
• Swimming Pool
• Kickboxing
• Water aerobics
• Fitness
• Pilates
• Table Tennis and Football table
• Kitchen and snacks
• Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.

At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

What was the hardest piece of work you produced using neural networks? Have you implemented algorithms from recent publications?*

What's an important chapter we ought to have in the DVPS textbook "Principles and Practice of Multimodal Foundation Models"?*

Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.

Our progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. We invest heavily in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations.

The ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Multimodal Foundation Models. Additionally, they should be capable of coordinating technical, communication, and team activities.

We recruit at different levels of seniority for this project and expect corresponding professional experience and demonstrated maturity to lead projects and teams for the more senior roles.

Translated has just been awarded a grant on DVPS, a 29M€, 4-year collaborative research project starting in July 2025, which Translated leads. DVPS develops the science of multimodal foundation models and deploys them on problems in Earth observation, language and cardiology. DVPS stands for the project's motto " Diversibus Viis Plurima Solvo" , "Through various paths, I solve many problems".

The project is endowed with computing resources matching its ambition. We estimate it will run on 30M GPU-hours provided by EuroHPC, running on the major Exascale and Petascale compute infrastructure in Europe.

For maximum impact, all research outcomes of DVPS, such as trained models, datasets, evaluation benchmarks, will be open-sourced on HuggingFace.

You will be part of a team of researchers dedicated to DVPS within Translated's AI Research team, which works on several pieces of technology such as Large Language Models, machine translation, speech foundation models, privacy-preserving machine learning. The AI Research team collaborates closely with product and engineering teams and develops the technology to power Translated's next generation of products.

In this role, you will:

• work with data, compute and algorithms
• design of deep learning multimodal neural architectures
• design experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations
• monitor and benchmark the state of the art
• have the opportunity to give guidance to more junior team members such as PhD students and interns
• coordinate with our partners on our research roadmap
• adapt the project's pace to the rapid scientific development in our field
• organize publications and open-sourcing efforts

• Junior
  • Master's degree in AI, Computer Science, Deep Learning
  • demonstrated research and work interests in foundation models
• Senior
  • completed PhD or 4 years of industry research experience in a relevant field of deep learning, machine learning, either applied (preferably language, clinical medicine, Earth observation, robotics, vision, audio)
  • experience guiding junior researchers, defining a research project and experiments
• Lead
  • as Senior, with 3 years of directly relevant industry or academic research experience
  • experience in coordinating a team of researchers and defining roadmaps
• excellent programming skills: Pytorch
• familiarity with Docker and Unix OS, including running GPU experiments
• interest in carrying out experimental research
• relevant scientific publications, teaching and research experience
• excellent command of English
• you're strong in GPU training and inference optimization
• you're a polyglot
• you have open-source contributions
• you have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV

Translated is hosted at Pi Campus, a working environment immersed in nature where luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Our working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. You will be surrounded by innovators and experts working at Pi Campus , a venture fund and startup ecosystem. A great environment to grow your skills.

• Tech and entrepreneurship talks and events
• Gym
• Swimming Pool
• Kickboxing
• Water aerobics
• Fitness
• Pilates
• Table Tennis and Football table
• Kitchen and snacks
• Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.

At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from private individuals to large companies like Uber and Airbnb.

Our progress is powered by leveraging scientific progress and the synergy between humans and machines. We invest in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, delivering innovations quickly to production to impact operations.

The ideal candidate should have enthusiasm for contributing to the design and implementation of Multimodal Foundation Models and be capable of coordinating technical, communication, and team activities.

We recruit at different levels of seniority for this project and expect corresponding professional experience and maturity to lead projects and teams for more senior roles.

Translated has been awarded a grant on DVPS, a 29M€ 4-year collaborative research project starting in July 2025, which Translated leads. DVPS develops the science of multimodal foundation models and deploys them on problems in Earth observation, language and cardiology. DVPS stands for the motto "Diversibus Viis Plurima Solvo", meaning, "Through various paths, I solve many problems".

The project is endowed with computing resources to match its ambition. We estimate it will run on 30M GPU-hours provided by EuroHPC, using major Exascale and Petascale compute infrastructure in Europe.

For maximum impact, all research outcomes of DVPS, such as trained models, datasets, and evaluation benchmarks, will be open-sourced on HuggingFace.

You will be part of a team of researchers dedicated to DVPS within Translated's AI Research team, which works on Large Language Models, machine translation, speech foundation models, and privacy-preserving machine learning. The AI Research team collaborates closely with product and engineering teams to power Translated's next generation of products.

In this role, you will:

• work with data, compute and algorithms
• design deep learning multimodal neural architectures
• design experiments, implement them in code, run them on large (GPU HPC) compute, and run evaluations
• monitor and benchmark the state of the art
• have the opportunity to guide junior team members such as PhD students and interns
• coordinate with our partners on the research roadmap
• adapt the project's pace to rapid scientific development
• organize publications and open-sourcing efforts

• Junior
  • Master's degree in AI, Computer Science, Deep Learning
  • demonstrated research and work interests in foundation models
• Senior
  • completed PhD or 4 years of industry research experience in a relevant field of deep learning or ML (applied fields such as language, clinical medicine, Earth observation, robotics, vision, or audio)
  • experience guiding junior researchers, defining a research project and experiments
• Lead
  • as Senior, with 3 years of directly relevant industry or academic research experience
  • experience coordinating a team of researchers and defining roadmaps
• excellent programming skills: PyTorch
• familiarity with Docker and Unix OS, including running GPU experiments
• interest in carrying out experimental research
• relevant scientific publications, teaching and research experience
• excellent command of English

• strong in GPU training and inference optimization
• polyglot
• open-source contributions
• published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV

Translated is hosted at Pi Campus, a working environment immersed in nature where luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Our working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. You will be surrounded by innovators and experts at Pi Campus, a venture fund and startup ecosystem. A great environment to grow your skills.

• Tech and entrepreneurship talks and events
• Gym
• Swimming Pool
• Kickboxing
• Water aerobics
• Fitness
• Pilates
• Table Tennis and Football table
• Kitchen and snacks
• Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child

Learn more about our company: translated.com/work-at-translated-onboarding

At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We are an inclusive and equal-opportunity employer committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

• Location: Rome, Rome, Italy
• Type: Full Time
• Experience: Entry Level
• Department: AI Research

Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.

Our progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. We invest heavily in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations.

The ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Multimodal Foundation Models. Additionally, they should be capable of coordinating technical, communication, and team activities.

We recruit at different levels of seniority for this project and expect corresponding professional experience and demonstrated maturity to lead projects and teams for the more senior roles.

Translated has just been awarded a grant on DVPS, a 29M€, 4-year collaborative research project starting in July 2025, which Translated leads. DVPS develops the science of multimodal foundation models and deploys them on problems in Earth observation, language and cardiology. DVPS stands for the project's motto " Diversibus Viis Plurima Solvo" , "Through various paths, I solve many problems".

The project is endowed with computing resources matching its ambition. We estimate it will run on 30M GPU-hours provided by EuroHPC, running on the major Exascale and Petascale compute infrastructure in Europe.

For maximum impact, all research outcomes of DVPS, such as trained models, datasets, evaluation benchmarks, will be open-sourced on HuggingFace.

You will be part of a team of researchers dedicated to DVPS within Translated's AI Research team, which works on several pieces of technology such as Large Language Models, machine translation, speech foundation models, privacy-preserving machine learning. The AI Research team collaborates closely with product and engineering teams and develops the technology to power Translated's next generation of products.

In this role, you will:

• work with data, compute and algorithms
• design of deep learning multimodal neural architectures
• design experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations
• monitor and benchmark the state of the art
• have the opportunity to give guidance to more junior team members such as PhD students and interns
• coordinate with our partners on our research roadmap
• adapt the project's pace to the rapid scientific development in our field
• organize publications and open-sourcing efforts

• Junior
  • Master's degree in AI, Computer Science, Deep Learning
  • demonstrated research and work interests in foundation models
• Senior
  • completed PhD or 4 years of industry research experience in a relevant field of deep learning, machine learning, either applied (preferably language, clinical medicine, Earth observation, robotics, vision, audio)
  • experience guiding junior researchers, defining a research project and experiments
• Lead
  • as Senior, with 3 years of directly relevant industry or academic research experience
  • experience in coordinating a team of researchers and defining roadmaps
• excellent programming skills: Pytorch
• familiarity with Docker and Unix OS, including running GPU experiments
• interest in carrying out experimental research
• relevant scientific publications, teaching and research experience
• excellent command of English
• you're strong in GPU training and inference optimization
• you're a polyglot
• you have open-source contributions
• you have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV

Translated is hosted at Pi Campus, a working environment immersed in nature where luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Our working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry. You will be surrounded by innovators and experts working at Pi Campus , a venture fund and startup ecosystem. A great environment to grow your skills.

• Tech and entrepreneurship talks and events
• Gym
• Swimming Pool
• Kickboxing
• Water aerobics
• Fitness
• Pilates
• Table Tennis and Football table
• Kitchen and snacks
• Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.

At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

What was the hardest piece of work you produced using neural networks? Have you implemented algorithms from recent publications?*

What's an important chapter we ought to have in the DVPS textbook "Principles and Practice of Multimodal Foundation Models"?*

We are looking for a highly motivated Senior Embedded Deep Learning Engineer to join the Computer Vision & Machine Learning team that is in charge of expanding the AI product portfolio of Datalogic, focused primarily on the utilization of Artificial Intelligence to improve and speed up the localization and decoding phase of barcode and 2D codes.

The role is responsible for designing and developing both AI-based and computer vision algorithms to extract information automatically from a continuous stream of data. As a Senior Engineer, you will be hands-on and responsible for deployment of the deep learning models directly at the edge. In this role, you will contribute extensively to Datalogic edge devices, creating AI/ML models as well as classic algorithms, taking a science first approach, integrating them into the underlying architecture, code maintenance, QA efforts and everything else involved in the end-to-end product development and release cycles. The candidate will work closely with other engineers and scientists creating the foundation of the future Datalogic AI solutions.

Key Responsibilities:

• Research and develop state-of-the-art Machine Learning/Deep Learning models for automatic data analysis;
• Design and implement DNNs and other ML techniques to detect and classify 2D codes acquired from a camera;
• Train, optimize, quantize, deploy and monitor performances of DNNs on edge devices;
• Analyze performance of models, provide guidance for targeted data collection to enhance training dataset;
• Integrate ML components into existing products by optimizing the entire processing pipeline;
• Work cross functional to help define product requirements aligning the technical agenda with the company's business objectives.

Requirements:

• Education: MS in Computer Science, Math, Physics, Electronic Engineering, Artificial Intelligence
• Experience: At least 5 years of experience in research activity on Deep Learning/Computer Vision. Good knowledge of ML/Deep Learning models used both regression and classification tasks.

Other Information and Specific Skills:

Technical Skills:

• MS in Computer Science, Math, Physics, Electronic Engineering, with a focus in Deep Learning, Computer Vision, Artificial Intelligence or related fields.
• At least five years' experience developing embedded or edge device through full product lifecycle.
• At least five years’ experience developing machine learning/deep learning/computer vision algorithms running on edge devices.
• Consolidated knowledge of ML framework such as TensorFlow or PyTorch.
• Good programming skills both in C++ and Python.

Soft Skills:

• multidisciplinary team working;
• willingness to work with international teams;
• active participation to the project, and commitment to quality and time.

Our team in Parma (Italy) is seeking a passionate and skilled Algorithm Engineer with a deep understanding of computer vision, deep learning, and computational geometry.

The successful candidate will play a role in generating high-quality ground truth data for HD maps, supporting autonomous systems and spatial intelligence.

• Design and implement advanced algorithms for computer vision applications.
• Develop and optimize deep learning models.
• Apply computational geometry techniques to solve complex spatial problems.
• Collaborate with the team to integrate your work into our in-house auto-annotation system.

• Proficiency in C++ and Python.
• Experience with computer vision and deep learning libraries such as OpenCV, PyTorch, TensorFlow.
• Solid understanding of deep learning architectures.
• Strong background in computational geometry (triangulation, matching, 3D reconstruction).
• Ability to write clean, modular, and well-documented code.

• Knowledge of containerization tools such as Docker or Podman, and orchestration with Kubernetes.
• Experience in robotics, autonomous systems, or automotive applications.
• Knowledge of numerical optimization or SLAM techniques.

Note: The posting date appears to be in the future ), which may be a typo or an error. The expiry date is .

This job is still active and accepting applications.