General Electric Position Tracking and Prediction Scientist in Lynn, Massachusetts

About Us:

GE Ventures is creating a new start-up, AIROS. This Start-up will have access to unparalleled

resources through GE’s Global Research Center, GE Digital, GE Aviation Systems (GEAS) and

GE’s IoT platform, Predix, NBC team leverages GE’s operational excellence, brand and scale to

create options for breakout growth. The NEWCO is creating enabling infrastructure and robotics

technologies that promote autonomy with persistent, geospatial big data stacks.

AIROS offers a great work environment, professional development, challenging careers, and

competitive compensation. AIROS is an Equal Opportunity Employer. Employment decisions

are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation,

gender identity or expression, age, disability, protected veteran status or other characteristics

protected by law.

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www.ge.com/sites/default/files/15-000845%20EEO%20combined.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Role Summary:

Our team is creating an innovative system to coordinate operations for current and emerging Autonomous Systems that will perform a diversity of functions that will deliver new capabilities, as well as improve efficiency and safety of operations in multiple business sectors.

Essential Responsibilities:

The Position Tracking and Prediction Scientist will work in teams and lead efforts as technical expert to design and develop algorithms based on data driven probabilistic techniques that enable scalable approaches for state prediction and tracking within multi-agent systems. The successful candidate will develop algorithms that efficiently predict, track, and forecast the positions of many distributed agents through the fusion of multiple data sources. The candidate will leverage existing experience in estimation/information theory, machine learning, and signal processing.

As a Position Tracking and Prediction Scientist, you will be part of a cross-disciplinary engineering team engaged in the development of a commercial system that will service multiple customers who seek to employ autonomous systems in a variety of industry sectors. You and your engineering members, will coordinate efforts with other teams with complementary expertise. You will be in an environment that emphasizes strong collaboration between engineering teams, product/business managers, end users, and internal/external partners.

In this role, you will:

  • Work with Engineering Leadership, Product and Business Managers to understand product capability needs, and translate those into algorithm designs

  • Provide expertise, guidance and rationale in the selection of context appropriate algorithms designs

  • Work as part of a cross-functional team to translate algorithm design into practical and efficient implementations for commercially viable products and services

  • Provide expertise in the development of state estimation and tracking algorithms, and support their translation into online software functions

  • Develop novel approaches for the fusion of multiple data sources to extract safety-critical information to support the operation of a distributed multi-agent autonomous system

  • Employ industry standard practices to assess the performance of different methods for position prediction and tracking

  • Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes

  • Participate in industry and technical meetings to support business objectives

  • Communicate methods, findings, and hypotheses with stakeholders.

Qualifications/Requirements:

  • Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) plus 7 years analytics development for industrial applications in a commercial/industrial setting

  • Expertise in statistical data processing and algorithms

  • Deep understanding of signal processing, estimation and information theory

  • Knowledge of probabilistic data fusion and sensor based localization

  • Familiarity with machine learning approaches to state estimation

  • Extensive experience with programming and algorithm design

  • Experience working with large data sets

  • Extensive software development experience (Java, C/C++, Python)

Eligibility Requirements

  • Legal authorization to work in the U.S. is required. GE may agree to sponsor an individual for an employment visa now or in the future if there is a shortage of individuals with particular skills

  • Any offer of employment is conditioned upon the successful completion of a background investigation and drug screen

  • Must be willing to travel at least 10%

  • Must be willing to work out of an office located in Boston, MA

Desired Characteristics:

  • PhD in Engineering or Scientific Discipline

  • Experience working in and leading teams

  • Experience developing distributed algorithms

  • Experience with communicating and presenting to project/program leadership

  • Experience collaborating with external/industry partners

  • Experience developing novel and innovative technologies

  • Comfortable serving as a change agent

  • Comfortable working in ambiguous and dynamic environments

Locations: United States; Massachusetts; Boston

GE offers a great work environment, professional development, challenging careers, and competitive compensation. GE is an Equal Opportunity Employer at http://www1.eeoc.gov/employers/upload/eeocselfprint_poster.pdf . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditional upon the successful completion​ of a background investigation and drug screen.