filters

Specialism

Country

Location

Job Type

Our client, a pioneering aerospace firm leading the charge in space exploration technology, are hiring a Director of Spacecraft Platform to spearhead the design and deployment of spacecraft platforms. The successful candidate will guide the development, design and implementation of spacecraft platforms, with the opportunity to significantly influence the trajectory of space exploration.


Responsibilities:

  • As the Director of Spacecraft Platform, you will lead and supervise a team of engineers, offering coaching, mentoring and opportunities for professional development.

  • You will oversee the mechanical design process of satellite structures, ensuring adherence to project requirements and industry standards.

  • Perform structural and thermal analyses to optimize designs for various space environments.

  • Take charge of Requirements Definition, Prototyping and Qualification Testing for the platform.

  • Collaborate with cross-functional teams to seamlessly integrate mechanical systems with other satellite subsystems.

  • Oversee the prototyping and testing phases of mechanical components and systems, analyzing outcomes and making necessary design modifications.

  • Effectively manage relationships with third-party vendors and contractors, ensuring clear and precise definition of Statements of Work (SOWs).

  • Collaborate with supply chain managers to identify and mitigate potential risks within the supply chain.



Skillset:

  • Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering or equivalent.

  • A minimum of seven years of hands-on experience in mechanical design and analysis of satellites, preferably within the aerospace sector.

  • Demonstrated proficiency in project management principles, including budgeting and timeline management.

  • Familiarity with ITAR/EAR regulations, DoD contracts and the ability to draft proposals.

  • Expertise in utilizing structural and thermal analysis software such as SolidWorks, CATIA, AutoCAD, UX and Thermal Desktop.

  • In-depth knowledge of materials science and manufacturing techniques applicable to space-related applications.


Benefits:

  • Salary: $150k - $210k DOE

  • Healthcare, Life, Dental insurance. 

  • 401K.



If this sounds like the role for you, apply now in the link below or email your resume directly to angelo@alldus.com for consideration.

Our client, an exciting aerospace company spearheading next-generation technology for space exploration, is hiring a Director of Robotics to lead their team. The successful candidate will be responsible for driving the development of state-of-the-art robotics technologies crucial to advancing their mission and reshaping the landscape of space exploration.



Responsibilities:

  • As the Director of Robotics, you will take charge of the complete robotics systems development lifecycle, spanning from conceptualization to integration and testing.

  • You will align robotics development with the company's mission and objectives by providing strategic direction.

  • Foster innovation in robotic design, systems integration and mission capabilities.

  • Mentor and guide a team of engineers and scientists in the advancement of cutting-edge robotic systems.

  • Supervise project execution, encompassing budgeting, scheduling and risk management.

  • Build and sustain robust relationships with stakeholders, partners and government agencies.



Skillset:

  • Master’s or Bachelor's degree in Computer Science, Mechanical Engineering, Electrical Engineering or similar.

  • At least 10 years of relevant experience in robotics development, ideally within the aerospace or space exploration industry.

  • Demonstrated leadership capabilities in tackling intricate technical challenges and delivering successful projects.

  • Proficiency in CAD software such as SolidWorks and numerical analysis tools like MATLAB Simulink.

  • Strong command of ROS, C++ and Python within the Linux operating system.

  • Expertise in computer vision, reinforcement learning and the control systems of robots.

  • Proven track record of developing highly intricate and mission-critical systems for either spaceflight or terrestrial applications.



Benefits:

  • Salary:  $180,000 - $220,000 

  • Healthcare, dental and vision insurance.

  • Life insurance and 401K

  • Equity



If this sounds like the role for you, apply now in the link below or email your resume directly to angelo@alldus.com for consideration.

Our client which provides AI based data and analysis that is used through the Power and Utilities industries are hiring a MLOps Engineer to join their team.  The company provide services that allow their clients to lower operating costs, prevent outages and ensure a safer and more reliable system.


Responsibilities: 

  • Working closely with a talented team of Engineers and Product Managers

  • Build end to end machine learning products and pipelines

  • Build Docker containers for trained machine learning models

  • Deploy Docker container images on Kubernetes engine

  • Develop Flask and FastAPI frameworks in Python

  • Develop end to end pipeline for deploying software platform backend infrastructure

  • Build end to end methodology for backend modules

  • Establish platform features and timelines for product roadmap

  • Integrate SQL database objects with the software platform

  • Integrate machine learning model REST API endpoints with software platform



Skillset:

  • Bachelor’s degree in computer science or related field and 4 years’ experience or master’s degree and 2 years of experience

  • Designing, implementing, debugging web technologies and server architectures (Java,

  • JavaScript, NodeJS), databases in Cloud Infrastructure and with Python programming language

  • Develop applications, API integrations on cloud infrastructures to handle customer data

  • Utilizing and maintaining cloud infrastructure and services of Google Cloud Platform



Please Note:
The position is remote and open to candidates who have a current right to work in the USA without the current or future need for sponsorship.  The candidate can be based anywhere in the USA. 


Salary: Max. $140k + benefits 


Interested? Apply now in the link below or email your resume to matthew@alldus.com for consideration.

Our client is a pioneering fintech platform transforming the wealth management sector through AI-powered personalization. With a commitment to offering customized wealth solutions that align with everyone’s unique objectives, they are spearheading a paradigm shift in personalized wealth management.


They are hiring a Staff ML Engineer to play a key role in their game-changing investment platform. The successful candidate will be responsible for crafting, refining, and implementing state-of-the-art Large Language models (LLMs) and advanced Retrieval Augmented Generation (RAG) pipelines to transform investment intelligence.



Responsibilities:

  • As the Staff ML Engineer, you will develop and refine Large Language Models (LLMs) for diverse tasks like question answering, summarization, and reasoning.

  • You will construct sophisticated Retrieval Augmented Generation (RAG) pipelines, integrating methods like rewriting, embedding fine-tuning and hybrid search.

  • Establish thorough evaluation frameworks and metrics to gauge model performance effectively.

  • Deploy models into production environments, prioritizing low latency, reliability and scalability.

  • Engage in close collaboration with product and engineering teams to create comprehensive end-to-end product systems.




Skillset:

  • PhD, Master's, or Bachelor's degree in computer science, mathematics, engineering or similar.

  • Experience in NLP/LLM with a solid understanding of cutting-edge research.

  • Expertise in LLM fine-tuning techniques and inference frameworks.

  • Proficient in machine learning/deep learning frameworks such as TensorFlow, PyTorch, etc.

  • Exhibit strong programming proficiency in Python and SQL.

  • Possess an analytical mindset with exceptional problem-solving skills.



Salary: $220k-$240k



If this sounds like the role for you, apply now in the link below or email your CV directly to angelo@alldus.com for consideration.

Our client is leading the charge in developing the next-generation Automation AI platform, aimed at streamlining repetitive processes with unparalleled efficiency. They are hiring a Senior Research Scientist to join their fast-growing team in the San Francisco Bay Area and tackle challenges within AI, UX, and complex systems.



Responsibilities:

  • As the Senior Research Scientist, you will engage in innovative research within foundation models and generative AI. 

  • You will deploy and train expansive Action Foundation Models for various automation scenarios.

  • Partner with data teams to create and refine exclusive datasets for the organization. 

  • Collaborate closely with internal product teams and external researchers to foster innovation. 

  • Facilitate the transfer of technology to pertinent product groups, maximizing its reach and influence.

 

Skillset:

  • Ph.D. in Computer Science/Engineering, Electrical Engineering, or a relevant discipline. 

  • Practical expertise in training distributed models at scale and preparing data. 

  • Proficient in widely-used deep learning frameworks such as PyTorch, Tensorflow, and JAX. 

  • Understanding of both theoretical and applied aspects of deep learning, computer vision, and natural language processing. 

  • Proven track record of excellence in research or substantial experience in product development. 

  • Familiarity with large-scale language models and vision-language models. 

  • Skilled in programming with Python/C++ and parallel programming techniques (e.g., CUDA).



Salary: $130-300k DOE


Interested? Apply now in the link below or email your resume directly to tyler@alldus.com for consideration.

Our client is on a mission to transform the life insurance industry. Through the use of state-of-the-art technology, they have streamlined the cumbersome months-long application process into mere minutes, delivering instant decisions and extending coverage to billions of dollars. 


They are hiring a Staff Machine Learning Engineer to play a crucial role in spearheading the development and implementation of cutting-edge machine learning models. The successful candidate will be instrumental in shaping the trajectory of the life insurance sector, addressing intricate challenges with inventive solutions.



Responsibilities:

  • As the Staff Machine Learning Engineer, you will take charge of one of the company’s ML teams, establishing strategic direction and project objectives.

  • You will be responsible to tackle intricate production performance and evaluation challenges.

  • Assess technical designs and contribute to team-wide strategies.

  • Work closely with cross-functional collaborators to devise machine learning solutions.

  • Guide and mentor engineers, offering constructive feedback and support.

  • Stay updated on the latest ML research and trends.




Skillset:

  • Master's degree or PhD in Computer Science or related field.

  • At least six years of machine learning engineering experience.

  • Proficient in one or more programming languages eg. Python, with a solid understanding of data structures and algorithms.

  • Demonstrated leadership in technical roles and ownership of projects.

  • Full-stack development experience, with a preference for exposure to front-end frameworks.

  • Skills in Clojurescript, React, GraphQL, Clojure and JVM.

  • Knowledge of Kafka, Docker, Kubernetes, Packer, Terraform, AWS, BigQuery, Tableau and BEAM.

  • Experience in regulated environments such as healthcare, finance or insurance is an advantage.




Benefits:

  • Salary: $170k - $200k DOE.

  • Competitive medical, dental and vision coverage.

  • Stock options and 401k match program.

  • Wellness reimbursement program.

  • Paid parental leave and support for working from home.




Interested? Apply now in the link below or email your resume directly to angelo@alldus.com for consideration.