- PhD or Master's in Computer Science, Mathematics, Physics, Electrical Engineering, or other related technical discipline or relevant work experience in machine learning or data science
- Passion and aptitude for programming and technology
- Enthusiasm for analytical and problem-solving challenges
- Expert in developing and debugging in Python, with strong experience in at least one other major language (C / C++ / Java)
- Proven experience with deep learning frameworks and usage of DL libraries (TensorFlow / Pytorch)
- Experience with cloud and big data technologies
- Familiar with Agile development life cycle, from design to release and support.
- Effective communication skills to keep all stakeholders regularly informed on progress
- Enthusiastic attitude towards learning and flexibility to adapt to new challenges or changes in direction
- Relocation bonus to help offset the cost of moving to Houston
- $10,000 signing bonus to welcome you in
- 3 weeks' vacation to recharge, 3 personal days, and 8 sick days for you to use when you need it the most
- A hybrid and flexible work schedule
- Excellent 401k match program (contribute up to 5% and we'll match up to 7%)
- Medical, dental, vision, supplemental benefits available and so much more
- CGG wants our employees to be the best versions of ourselves. We offer a Wellness Program as well as a state-of-the-art Fitness Center
- Tired of packing lunch? We got you covered with free lunches on Tuesdays, Wednesdays, and Thursdays
- Highly intelligent and motivated coworkers who are industry leaders in geoscience technology and high-performance computing
- Energetic and challenging-yet-fun work environment, full of interesting problems to be solved and technologies to be developed
- Excellent training and mentorship programs
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Machine Learning Software Developer - Houston, United States - CGG
Description
Company DescriptionCGG ) is a global technology and HPC leader that provides data, products, services and solutions in Earth science, data science, sensing and monitoring. Our unique portfolio supports our clients in efficiently and responsibly solving complex digital, energy transition, natural resource, environmental, and infrastructure challenges for a more sustainable future.
Our specialized HPC and digital technologies support our advanced and secure cloud-based workflows, expert geoscience data transformation and AI, machine learning and data science services. Today, our HPC supports over 700 users with 300 petaflops of computing power.
Job Description
As a Machine Learning Software Developer, you will play a vital role in the continual development of our geoscience analytic techniques. You will work closely with other Software Engineers, Researchers, and Scientists in our Geoscience teams to design and implement machine learning and deep learning solutions. You will work with our Geoscientists to validate potential opportunities for machine learning techniques, prepare data for training and testing, and design, train, and deploy models in production. As an integral member of our team, we highly encourage the contribution of ideas and drive in the generation of new concepts to maintain our outstanding leadership position for technology and service delivery in the marketplace.
Must have current U.S. work authorization or qualify for sponsorship.
Qualifications
Education and/or Experience
Perks and Benefits:
At CGG, you will have the space to grow at the pace of your passion and explore the opportunities available to those who dare and deliver.
Our culture of learning and complementary approach to supported or self-guided career development, enables the design of tailored courses to suit specific needs our employees to aid personal growth in areas related to technical, commercial and personal skills, via an extensive suite of CGG developed courses, managed through our own Learning Hub.
We Care about the Environment
We encourage and actively support a strong sense of community, through volunteering and various company initiatives, as well as a strong company commitment to protecting our environment through sustainable solutions, energy saving and waste reduction enterprises.
We see things differently. Diversity fuels our innovation, we value the unique ways in which we differ, and we are committed to equal employment opportunities for all professionals.