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AeroVironment
, CA, United States
Worker Type Regular Job Description Summary The Machine Learning Engineer I will have the opportunity to interact with R&D Group to develop a variety of innovative computer vision detection, classification, localization, and tracking solutions for defense and commercial applications. These development efforts will generally be small focused des
Job Source: AeroVironmentDeepRec.ai
, CA, United States
Job Title: Machine Learning Engineer Location: San Francisco Salary: 240K + Equity Visa: Sponsorship Available Responsibilities: Work with large video datasets to develop and implement machine learning models. Optimize and debug neural networks for efficient performance. Scale up training processes to handle large datasets effectively. Process
Job Source: DeepRec.aiAcceler8 Talent
, CA, United States
About Us At our dynamic startup, we're at the forefront of the rapidly evolving field of data-centric AI. Backed by a team of prominent researchers from MIT, we utilize the latest advancements in technology to create cutting-edge tools that enable users to diagnose and resolve issues in their datasets effectively. Our modern tech stack ensures that
Job Source: Acceler8 TalentZefr
, 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 Alli
Job Source: ZefrPlayStation
Los Angeles, CA, United States
Why PlayStation? PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today, were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and
Job Source: PlayStationX (formerly Twitter)
Los Angeles, CA, United States
Are you prepared to join the X team and help build the ultimate real-time information-sharing app, revolutionizing how people connect? At X, we're on a mission to become a trusted global digital public square, committed to minimal censorship within legal boundaries. Our goal is to empower every user to freely create and share ideas, fostering open
Job Source: X (formerly Twitter)Punchcard
Pasadena, CA, United States
As a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms. You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketi
Job Source: PunchcardSapling
Los Angeles, CA, United States
ML/NLP/deep learning expertise. Strong engineering background with end-to-end ownership of projects. You will: Have critical impact on Sapling growing its set of enterprise customers. Build components of the data, pre-processing, training, evaluation, and guardrail pipeline for Transformer models. Work closely with the founders. Have a flexibl
Job Source: SaplingLos Angeles, CA, United States
Fama is the innovator in online screening that makes hiring great people easy. Combining Fama's groundbreaking AI technology and ability to integrate across the HR Tech stack, the solution compliantly searches over 10,000 online public sources to help companies avoid workplace misconduct, prevent costly legal action and ultimately, make better decisions. By modernizing candidate screening and due diligence, Fama helps organizations, agencies, and investors improve the quality of hires, make the most of each investment and build successful businesses.
Headquartered in Los Angeles, CA, Fama has raised over $30M and is backed by some of the world's leading venture capitalists and institutional investors. We're FCRA, EEOC, and SOC2 compliant, and integrate with major HRIS, ATS, and background check solutions. To learn more, visit Fama.io.
Position Overview:
Fama is seeking a Junior Machine Learning Engineer to join our Data Science and Analytics team to advance the next generation of our AI/ML infrastructure. The successful candidate will spearhead the deployment, tracking, and CI/CD around our models so that we can smoothly create new and push changes to existing ML models. The junior ML Engineer will also be responsible for model tuning, testing and monitoring, and performance optimization.
You will work closely with a distributed Data Science and Analytics team, Product Engineering partners, and other stakeholders to develop new models for our SaaS product lines. Our AI/ML models are at the core of our products and our team seeks innovative individuals who strive to build industry-leading products.
Responsibilities
Create and maintain MLOps pipelines that support automatic retraining and deployment of our models.
Establish version control and best practice CI/CD around model deployment.
Deploy and optimize a wide range of ML models created by our data scientists in the cloud.
> Qualifications Experience in DevOps and/or MLOps establishing CI/CD for large machine learning models
*Strong bonus experience: 1 - 2 years of deep learning/computer vision/natural language processing/machine learning/computer science with equivalent industry experience (or, in exceptional cases, BS with a proven track record of relevant industry or transferrable experiences).
Proficiency in common machine learning packages such as Scikit-learn, TensorFlow, PyTorch, etc.
Proficiency with MLOps frameworks such as MLFlow, Kubeflow, TFX, Airflow, etc.
Familiarity with algorithms, such as clustering, forecasting, anomaly detection, classification, and graph networks.
Comfortable working with cloud Infrastructure (AWS, GCP, Azure, etc.)
>
$110,000 - $120,000 a year
The salary range for this position is $110,000 - $120,000 annually. Compensation for this role will depend on a variety of factors, including qualifications, specialized skills, budgetary considerations, labor market conditions and demand, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans. Exact compensation may vary based on skills, experience, and location
Performance-based compensation incentives available
We believe that becoming an increasingly diverse, equitable, and inclusive workplace makes us a more successful and resilient organization. We embrace equal opportunity for all applicants and seek to foster and preserve a culture of belonging for our employees. We recognize and appreciate that the more inclusive we are, the better we will function as a team. We are committed to providing equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, gender identity, gender expression, age, marital or family status, disability, military veteran status, and any other status or background.
Junior Machine Learning Engineer jobs in Los Angeles, CA, United States
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