Lumicity

About the Company

Solutions Led, Results Driven. Founded in 2016 as the US entity of the G2V Group off the back of increased US demand, Lumicity is a technical staffing agency that strives to provide world class talent solutions within emerging technologies across the United States, placing the best resource across Engineering, Life Sciences, Technology & Energy. We provide expert, consultative solutions on a direct hire or contract basis and provide a contingent, retained & executive search service to our clients. We are located in Los Angeles, San Diego, Houston, Miami & Chicago with plans for further expansion. Meteoric growth has been achieved through expert market knowledge, excellent standards and exceptional customer care to both clients and candidates; we are one of the most respected recruiters within the industry. Our team of experts listen to your recruitment needs and only prescribe solutions of the highest standard. By dividing our consultants into vertical market areas within your industry, you can rest assured that you are only ever working with a technical expert who understands the terminology and nuances that you do not get with most other agencies. We are proud to be providing solutions to some of the most innovative technology start-ups across, as well as serving some of the most established brands throughout the US.

Listed Jobs

Company Name

Lumicity

Job Title

Machine Learning Engineer - Audio Data

Job Description

**Job Title:** Machine Learning Engineer – Audio Data **Role Summary:** Design, develop, and deploy advanced signal‑processing and machine‑learning solutions for speech and audio applications. Build production‑grade inference pipelines, APIs, and models that demonstrate the capabilities of high‑quality studio audio datasets for conversational AI and other speech‑focused models. **Expectations:** - Lead end‑to‑end model development from research to production. - Collaborate with cross‑functional teams to integrate algorithms into customer‑facing services. - Contribute to a fast‑moving early‑stage environment and support company growth (potential equity participation). - Apply startup mindset: rapid iteration, ownership, and proactive problem solving. **Key Responsibilities:** - Research, design, and implement state‑of‑the‑art audio signal‑processing algorithms and ML models (e.g., speech enhancement, source separation, voice activity detection). - Develop and maintain scalable inference pipelines and REST/GRPC APIs for real‑time audio processing. - Optimize models for latency, memory, and hardware constraints (CPU/GPU). - Conduct experiments, evaluate model performance, and produce technical documentation. - Partner with data engineering, product, and customer teams to translate data insights into actionable features. - Stay current with emerging audio and speech research to continuously improve solutions. **Required Skills:** - Proficient in Python and C++ programming. - Hands‑on experience with deep‑learning frameworks such as PyTorch and TensorFlow. - Strong background in digital signal processing and audio algorithm development. - Demonstrated ability to build production‑grade ML pipelines and APIs. - Experience with speech‑related technologies (ASR, TTS, speaker verification, etc.). - Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. - Excellent problem‑solving, communication, and teamwork skills; startup experience preferred. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Signal Processing, or a related technical field (Master’s or Ph.D. preferred). - Relevant certifications (e.g., TensorFlow Developer, AWS Certified Machine Learning) are advantageous but not mandatory.

San francisco bay, United states

On site

03-10-2025

Company Name

Lumicity

Job Title

Data Scientist – Fraud & Risk

Job Description

**Job Title:** Data Scientist – Fraud & Risk **Role Summary:** Develop and deploy statistical and machine‑learning models to detect fraudulent activity and assess risk across large-scale datasets. Collaborate cross‑functionally with leadership, engineering, and product to align data science initiatives with business objectives and embed models into production environments. **Expectations:** - 1–5 years of experience in fraud or risk modeling, cybersecurity, fintech, or AML/KYC. - Proven track record building predictive risk models and scoring systems. - Strong command of Python, SQL, PostgreSQL, and AWS services. - Ability to translate complex data insights into clear business recommendations. **Key Responsibilities:** - Design, build, and validate statistical and machine‑learning models for fraud detection. - Perform exploratory data analysis on large datasets to derive actionable insights. - Collaborate with product, engineering, and leadership to integrate models into production pipelines. - Monitor model performance, conduct experiments, and execute model versioning. - Participate in cross‑team discussions to align data science projects with strategic goals. **Required Skills:** - Predictive risk modeling, fraud detection, and identity mapping. - Experience with entity resolution, graph databases, or similar techniques. - Advanced Python programming (pandas, scikit‑learn, XGBoost, etc.). - SQL proficiency with PostgreSQL. - Familiarity with AWS services (S3, SageMaker, Lambda, etc.). - Strong analytical, problem‑solving, and communication abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field (or equivalent work experience). - Certifications in data science, machine learning, or related domains preferred but not mandatory.

New york, United states

On site

Fresher

16-10-2025

Company Name

Lumicity

Job Title

Robotics Specialist

Job Description

Job title: Robotics Specialist Role Summary: Execute daily testing and data collection for robotics technology, operate and calibrate robotic devices, provide real‑time performance feedback to engineering teams. Expectations: Operate robotic systems with precision for multi‑hour shifts; maintain meticulous attention to detail; adhere to safety and quality protocols; report observations and recommend improvements. Key Responsibilities: - Operate specialized robotic equipment and perform functional tests. - Collect, log, and analyze data from robotic trials. - Identify and document mechanical, software, or performance issues. - Communicate findings clearly to engineering and product teams. - Follow safety procedures and maintain equipment readiness. - Contribute to iterative development of robotic systems. Required Skills: - Valid U.S. work authorization. - Excellent manual dexterity and hand‑eye coordination for controlling robotic systems. - Strong attention to detail and data accuracy. - Reliability, responsibility, and strong work ethic. - Self‑motivated interest in robotics and emerging technologies. Required Education & Certifications: Not specified. (Candidates should possess the technical aptitude and training necessary for hands‑on robotic operations.)

San francisco bay, United states

On site

19-11-2025