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Berkley Hunt
, CA, United States
Overview: Berkley Hunt has partnered with a Series A firm backed by a Tier 1 VC, we are currently seeking a Founding Machine Learning Engineer with a proven track record in designing and deploying ML models and systems. This role is integral to the companies startup mission, focusing on addressing sophisticated challenges in the realms of security,
Job Source: Berkley HuntMachina Labs
Los Angeles, CA, United States
Company: Machina Labs, founded in 2019 by aerospace and auto industry veterans, is a Los Angeles-based smart manufacturing company. Leveraging advancements in AI and robotics, Machina Labs develops software-defined factories to create modular manufacturing solutions. The company, backed by major investors in AI and Deep Tech, is currently developi
Job Source: Machina LabsDigital Force Technologies
, CA, United States
Digital Force Technologies (DFT) Machine Learning Engineer What We Do: Digital Force Technologies (DFT) is a defense technology provider with a 20-year history of developing and fielding advanced sensor systems, force protection solutions, and tactical surveillance products. DFT’s extensive history of innovation, in-house expertise, and robust ne
Job Source: Digital Force TechnologiesFractal
, CA, United States
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only c
Job Source: FractalRAND Corporation
Santa Monica, CA, United States
Job Type: Regular Machine Learning Engineer Research Software Engineers at RAND work in a multidisciplinary environment, closely collaborating with researchers and analysts from a variety of domains. The Machine Learning Engineer will work across multiple research areas developing and maintaining custom applications and data pipelines featuring ge
Job Source: RAND CorporationFanDuel
Los Angeles, CA, United States
ABOUT FANDUEL FanDuel Group ("FanDuel") is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-depo
Job Source: FanDuelFLYR Labs
Los Angeles, CA, United States
Our Vision FLYR is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential. FLYR is a technology company that is purpose-built for the travel industry. Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses
Job Source: FLYR LabsVoxelCloud
Los Angeles, CA, United States
Company Description Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai Job Description The R&D team (located in Los Angele
Job Source: VoxelCloud, CA, United States
What We Do
Zefr is the global leader in brand suitability targeting and measurement across the world’s largest platforms. Zefr’s technology is helping to power the age of responsible marketing by putting advertisers in control of their content adjacencies based on their own unique brand safety and suitability preferences, mapped to the Global Alliance of Responsible Media’s (GARM) industry standards. As an official YouTube Measurement Program Partner, Meta for Business Partner, and TikTok for Business Partner, the company leverages patented machine learning and AI technology (Cognition AI) to offer brands and agencies more precise and transparent brand safety and suitability activation and measurement solutions on scaled platforms. The company is headquartered in Los Angeles, California, with additional locations across the globe.
What You’ll Do
We are hiring a Machine Learning Engineer to be involved in designing and building large-scale applications and systems to acquire, process, and store multi-terabytes of YouTube, TikTok, Facebook and other social media data. In this role you will implement machine learning infrastructure to understand what hundreds of millions of videos are about. You will be working with state of the art models, including large language models, to build sophisticated compound AI systems. We are excited to welcome someone who is passionate about cutting edge research in machine learning and computer vision. We want an individual who can keep up to date with the ever-expanding field of Machine Learning Operations.
This is a role where we both expect to learn from you and have you learn from us!
Tech Stack
Languages: Python, SQL
Data Stores: Snowflake, Qdrant, OpenSearch, DynamoDB
Data Processing: Apache Kafka, Pandas, DBT, FastAPI
DevOps: Github Actions, Docker, Terraform, Kubernetes, ArgoCD, AWS, GCP, Datadog
MLOps: Triton Inference Server, Weights and Biases, Transformers, Onnx, TensorRT, DVC, HuggingFace
What We’re Looking For
Bachelor's or Master's degree in Computer Science or related field with 2+ years of professional experience
Machine Learning Operations
Data Engineering
Fluency with Python and SQL (Specifically Snowflake)
Experience with distributed systems and machine learning models
Experience with working with Large language models and RAG systems
Strong foundation in data structures, algorithms and software design
Thorough testing and code review standards/practices
Strong verbal and written communication skills
Openness to new technologies and creative solutions
Preference for a candidate that is located in (or willing to relocate to) the great Los Angeles area
Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better. We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.
Benefits (for US Based Employees)
Flexible PTO
Medical, dental, and vision insurance with FSA options
Company-paid life insurance
Paid parental leave
401(k) with company match
Professional development opportunities
14 paid holidays off
In-office, hybrid, and fully-remote work options available
“Summer Fridays” (shorter work days on select Fridays during the summertime)
In-office lunches and lots of free food
Optional in-person and virtual events (we like to celebrate!)
Compensation (for US Based Employees)
The anticipated base salary for this position is between $130,000 to $160,000. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.
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Machine Learning Engineer jobs in , CA, United States
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