Autonomy Research Engineer Jobs

Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, or Keras.

2-4 + years of experience in machine learning research and development, with a focus on multi-modal, generative AI, and LLM applications.

Solid understanding of statistical modeling and analysis techniques, and experience with data visualization tools.

Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Knowledge of specific applications such as drug discovery, knowledge synthesis will be a plus.

Collaborate with cross-functional teams, including software developers, data scientists, and product managers, to develop and deploy machine learning models and applications.

Coordinate with R&D Program Manager and other team members in establishing a world class research facility for specialized testing

10 years of relevant industrial or research experience

Minimum 5 years of Experience in advanced materials characterization, including scanning electron microscopy, transmission electron microscopy, and electron backscatter diffraction

Minimum 3 years of experience in mechanical testing, including tensile, fracture toughness, and fatigue testing

Minimum 3 years of experience with metallurgical modelling and/or related software (e.g., Thermo-Calc, JMatPro, etc.)

Strong English communication, presentation skills and the ability to work in a cross-functional team environment are required

Education: PhD (or MSc + experience) in biomedical engineering, tissue engineering, mechanical engineering, chemical engineering, or related discipline

Cell Culture Experience: You have experience working with multiple primary or stem cell types

Develop a deep understanding of Aspect’s microfluidic 3D bioprinting technology and the ability to troubleshoot and innovate as a technical expert

Perform mammalian cell culture, bioink preparation, and other aseptic processes required for printing of bioprinted tissue therapeutics

Create and execute assays to characterize bioprinted constructs, involving techniques such as microscopy, ELISA, rheology, and mechanical testing

Maintain rigorous records of experimental procedures and results, prepare reports, and communicate findings to the team

Several years of experience building and shipping software using a variety of technology stacks, or equivalent experience

Experience identifying and justifying research goals in situations of ambiguity and executing towards those goals without explicit direction

Experience creating rapid prototypes that demonstrate a concept to stakeholders and enable decision making

Has held roles that deal with topics at the boundary of human knowledge regarding software development and developers

Have significant experience with machine learning, LLMs, and the rapidly-evolving landscape of techniques and tools used to build intelligence into products

Have significant experience with one or more backend technologies: server-side environments, compute, datastores, networking, infrastructure, devops, security, and programming languages

Expertise in data governance, data validation, and data management processes

Bachelor’s degree in quantitative finance, statistics/machine learning, engineering, data science, engineering, or a related field

Strong collaboration skills and a pro-active approach to communication. Ability to deliver accurate results that have impact on tight deadlines

Master’s degree in quantitative finance, statistics/machine learning, engineering, data science, engineering, or a related field

Experience working with modern cloud-based data ecosystem

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

Ensure requirements for operation are established following change management standard methodologies associated with people, process, and technology

Minimum 7 years of open pit mining, project management, and field experience

A change Agent with experience and understanding of efficient change management

Project Management Professional designation would be considered an asset

Strong leadership skills with a proven track record of leading technical and operations teams that deliver results

Outstanding interpersonal skills as well as excellent oral and written communication skills

Experience in people management and the ability to lead and influence others.

Master’s degree (or higher) in Operations Research, Computer Science, Industrial Engineering, Management Information Systems, or similar field.

Machine Learning and data analytics experience and skills.

Five years’ experience in optimization solutions.

Working knowledge of C++ (11+, STL), object-oriented programming/design principles and patterns, SOLID, design patterns (Gang of Four)

Experience of enterprise software development and maintenance

Several years of experience building and shipping software using a variety of technology stacks, or equivalent experience

Experience identifying and justifying research goals in situations of ambiguity and executing towards those goals without explicit direction

Experience creating rapid prototypes that demonstrate a concept to stakeholders and enable decision making

Has held roles that deal with topics at the boundary of human knowledge regarding software development and developers

Have significant experience with machine learning, LLMs, and the rapidly-evolving landscape of techniques and tools used to build intelligence into products

Have significant experience with one or more backend technologies: server-side environments, compute, datastores, networking, infrastructure, devops, security, and programming languages

Working with AI researchers on applied real-world problems to prove algorithmic feasibility and push the algorithmic capabilities.

1+ years of prior applied/core research experience.

Experience in actively researching/applying in the fields of {ModelBased, Batch, Safe} RL methods

Expertise in Python with considerable experience in using open source ML libraries Keras/TensorFlow, PyTorch, scipy, scikit-learn, numpy, pandas, ray

You will have started to contribute to knowledge sharing throughout Phaidra.

Phaidra is a 100% remote company with a digital nomad policy.

Looking for founding research engineer who is interested in hyper realistic deepfake

You will be responsible for AI model distillation and optimize the model to the hardware.

Basic mathematical foundation to understand academic papers in ML landscape. Be familiar with GAN and diffusion architecture.

Acting as SME for the relevant knowledge domain and point-of-contact for knowledge transfer and escalations in the area

5 years of programming experience

Knowledge of several programming languages

Extensive experience with data structures and algorithms

Solid understanding and hands-on experience with networking and cloud security protocols

Solid understanding and working knowledge of:

Experience with at least one traditional RDBMS database management (such as PostgreSQL, MySQL, MariaDB, or similar solutions)

experience with at least one traditional RDBMS database management (such as PostgreSQL, MySQL, MariaDB, or similar solutions)

Experience with at least one message-queue (job-queue) system, such as Kafka, RabbitMQ, ActiveMQ, etc.

Experience with cloud computing, including provisioning and running a server (AWS EC2 or equivalent)

Experience with web scraping, particularly by automating browsers (Selenium or an equivalent solution)

Familiarity with version control (Git) and effective communication skills to develop code in tandem with others

5+ years of NLP experience notably in the design and development of multilingual scalable NLP models.

3+ years of research experience in NLP and related domains.

Strong Python skills, including at least one modern machine learning framework such as: PyTorch, Tensorflow, Keras.

Work in a rapidly growing business with the ability to influence the key value proposition of the product

Gather and leverage proprietary datasets to create novel problem formulations and novel solutions

Contribute to Behavox research and development tools/repos and maintain good quality of code and reports.

Project management and task coordination. Duties include:

Interacting with external clients, formulating project proposals and proposing test configurations, data acquisition requirements and test protocols.

Managing, editing and overseeing the generation of research reports and other deliverables to customers or funding institutions.

Developing test protocols and plans for research projects carried out in the field.

Participating in the planning and organization of local and international workshops and seminars organized by the EERF.

Conducting direct research work, including developing and executing research based on sound experimental design techniques, collecting, analyzing and interpreting data.