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Today

Senior Machine Learning Engineer

Motion Recruitment Wilmington, MA

Wilmington, MA

Today

Full time Senior Artificial Intelligence Data Analysis

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Job Description

Own end-to-end machine learning for edge-ready models, from sensor ingestion through deployment and operational MLOps processes.

Responsibilities

Own the full ML lifecycle, starting from raw sensor data and ending with a model running on constrained hardware
Design and develop sensor data pipelines for continuous collection, cleaning, and organization
Build, train, optimize, and deploy signal processing and anomaly detection models for edge devices
Create and refine ML models for real-time device applications and ongoing performance improvements
Collaborate with embedded engineers to integrate and validate inference within device software
Work closely with firmware teams to embed and test AI features on hardware platforms
Build and maintain MLOps infrastructure to support regulatory and quality processes
Set up and manage tooling for experiment tracking, automated evaluations, and deployment management
Participate in sensor selection and validation
Document model development to support regulatory submissions and internal quality processes
Analyze model behavior, ensure reliability, and troubleshoot issues to maintain high-quality outputs

Requirements

5+ years of experience in machine learning engineering or applied ML
Strong proficiency in Python
Hands-on experience with PyTorch or TensorFlow
Experience deploying models to the edge using TFLite, ONNX, CoreML, TensorRT, or an equivalent workflow
Experience building sensor data pipelines
Proficiency with MLOps
Solid software engineering fundamentals
Proficiency in C or C++
Degree in a relevant field

Desired Skills & Experience

Experience with physiological signal processing for medical or wearable applications
Background in robotics or autonomous systems
Experience in a startup or small team

Technology Stack

Python
PyTorch
TensorFlow
TFLite
ONNX
CoreML
TensorRT
MLOps
C
C++

Location

Wilmington, MA (onsite)

Benefits

Bonus OR Commission eligible
Medical Insurance
Dental Benefits
Vision Benefits
Paid Time Off (PTO)
401(k) (including match - if applicable)

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11d ago

Senior Software Developer

SOUTHEASTERN COMP CONSULTANTS INC King George, VA

King George, VA

11d ago

Full time Senior Autonomous Systems Edge Ai

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Job Description

SOUTHEASTERN COMP CONSULTANTS INC (SCCI) is building a newly established R&D department focused on next-generation autonomous systems and immersive training solutions for defense and government customers. In this onsite role in King George, VA, you will help bring applied AI/ML capabilities from prototype concepts to transition-ready demonstrations, with work grounded in defense operational needs.

As a Senior Software Developer (5+ years of experience), you will contribute to an R&D mission that emphasizes applied machine learning, including computer vision, edge-based inference, and autonomous swarm control, supporting customers in and around Dahlgren, VA.

What you’ll do

Identify emerging DoD capability gaps and operational needs early by developing AI/ML prototype concept ideas ahead of formal government solicitations, supporting positioning for OTA responses, SBIR/STTR opportunities, and DoD challenge competitions
Drive the R&D technical vision for AI/ML capabilities, with an active focus on computer vision, edge-based inference, and autonomous swarm control, while scanning the threat and technology landscape for the next competitive frontier
Translate operational military requirements into AI/ML prototype solutions that are demonstrable, defensible, and transition-ready for program of record or follow-on acquisition
Work with a Program Manager to document technical objectives, effort estimates, and milestone schedules for AI/ML R&D efforts, and track execution against plan
Design, develop, and iterate AI/ML prototypes with emphasis on computer vision applications for edge-deployed systems
Develop and optimize AI/ML models for resource-constrained edge hardware, balancing inference performance, power envelope, and operational reliability
Integrate AI/ML into simulation and training environments to enable adaptive, hyper-realistic training scenarios that respond dynamically to trainee behavior and mission context
Maintain a working prototype pipeline that supports rapid demonstrations for government customers, OTA consortia, and DoD evaluators with minimal lead time
Identify technical risks early, escalate them appropriately, propose mitigation approaches, and adjust development priorities to keep prototype work on schedule and within resource constraints
Mentor and technically guide junior and mid-level developers in applied AI/ML concepts, development practices, and defense problem framing to build internal depth in an area where bench strength is currently limited
Establish repeatable development patterns, coding standards, and documentation practices so the broader team can contribute effectively to AI/ML prototype efforts over time
Monitor competitor capabilities, government R&D investment trends, and emerging academic and commercial AI/ML advances to maintain a differentiated position in autonomous systems and simulation training
Contribute technical concepts for white papers, capability briefs, technical volumes, and proposal content that communicate SCCI’s AI/ML vision and prototype achievements

Required qualifications

U.S. Citizenship with an active Secret Security Clearance
BS degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related technical field
5 to 7 years of hands-on applied AI/ML development, with a portfolio of prototype or fielded systems demonstrating end-to-end ownership from concept through demonstration
Expertise in computer vision development and deployment, including object detection, tracking, classification, and scene understanding in operationally relevant contexts
Experience deploying AI/ML models to edge hardware under real-world constraints (limited compute, power, bandwidth, and connectivity), including optimization techniques such as quantization, pruning, distillation, or equivalent
Experience building AI/ML solutions that support human-machine teaming principles, reducing operator cognitive load through intelligent automation, prioritized cueing, and adaptive interface behavior, maintaining human-on-the-loop or human-in-the-loop control consistent with DoD AI ethics and autonomy policy
Track record of delivering working prototypes on compressed timelines without detailed requirements by translating ambiguous operational problems into functional, demonstrable AI/ML solutions
Ability to fully own a technical effort, covering planning, execution, risk management, and delivery with minimal oversight
Experience defining technical project objectives, estimating work effort and milestone schedules, and holding delivery accountability without external management pressure
Experience mentoring junior and mid-level developers and leveling up team capability over time in applied AI/ML
Ability to establish development standards, reusable patterns, and documentation practices that extend impact across a small team
Experience working within DoD, defense contractor, or government R&D environments with familiarity of military operational contexts, acquisition frameworks, and transition pathways
Experience presenting prototype capabilities and technical concepts to government customers, OTA consortia, program offices, or at defense industry events
Proficiency with Atlassian suite, Google Workspace, and Microsoft Office for project tracking, documentation, and cross-functional collaboration
Demonstrated use of AI-assisted development tools to accelerate R&D workflows and prototype velocity
Experience identifying, evaluating, and recommending compute and hardware infrastructure for AI/ML development and testing environments, including edge devices, GPUs, and supporting lab equipment

Tools and technologies

Atlassian suite
Google Workspace
Microsoft Office
GPUs

Benefits

Health benefits
Dental benefits
Vision benefits
Life and Disability benefits
401k with Company Match
Time off consisting of 2 weeks of paid vacation
48 hours of sick/personal leave
11 paid Holidays

Preferred qualifications

Active Top Secret Security Clearance

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