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Machine learning engineer • usa

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Machine Learning Engineer

BASELAYERSan Francisco, CA, United States
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Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk.Baselayer's B2B risk solut...[internal_linking.show_more]

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Machine Learning Engineer

Tiger AnalyticsJersey City, New Jersey, United States
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Tiger Analytics is an advanced analytics consulting firm.We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data.Our consultants b...[internal_linking.show_more]

Machine Learning Engineer

Fusion Risk ManagementUnited States
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[job_card.full_time]

We're looking for a product-minded Machine Learning Engineer to pioneer the engineering of intelligent resilience systems at Fusion.This role will focus on designing, building, deploying, and opera...[internal_linking.show_more]

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Machine Learning Engineer

Ad Astra Info Systems LLCOverland Park, KS, United States
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Competitive Compensation & Benefits Package * 401(k) with Profit Sharing * Flexible Time Off * Office Dog!!.By combining our unparalleled domain expertise with leading-edge technology, Ad Astra is ...[internal_linking.show_more]

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Machine Learning Engineer

SynergisticITWest Palm Beach, FL, United States
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The job market is challenging due to more than 150,000 tech layoffs in 2022 and in 2023 more than 240,000 layoffs so almost 390,000 tech employees have been laid off since 2022 and it's still going...[internal_linking.show_more]

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Machine Learning Engineer

CanalsDenver, NY, United States
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Canals is a fully remote, profitable startup transforming the industrial supply chain ($10T industry) with AI.Our platform seamlessly integrates with the systems distributors already use, automatin...[internal_linking.show_more]

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Machine Learning Engineer

Microsoft CorporationRedmond, WA, United States
[job_card.full_time]

Come build community, explore your passions, and do your best work at Microsoft while helping a team deliver machine learning (ML) capabilities that are reliable, measurable, and ready to integrate...[internal_linking.show_more]

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Machine Learning Engineer

10a LabsNew York, NY, United States
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Labs is the safety and threat-intelligence layer trusted by frontier AI labs, AI unicorns, Fortune 10 companies, and leading global technology platforms.Our adversarial red teaming, model evaluatio...[internal_linking.show_more]

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Machine Learning Engineer

Swish AnalyticsSan Francisco, California, US
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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.We believe that oddsmaking is a challenge rooted in engi...[internal_linking.show_more]

Machine Learning Engineer

Seven Seven SoftwaresNewark, NJ, US
[job_card.full_time]

Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.Design and implement Mach...[internal_linking.show_more]

Machine Learning Engineer

Chabez TechPortland, Oregon, United States
[job_card.temporary]

Job Title: Machine Learning Engineer.Location: Portland, OR - Onsite (Local only / F2F interview).Experience Level: 5+ years of experience.Bachelor’s or master’s degree in computer science, Machine...[internal_linking.show_more]

Machine Learning Engineer

NT ConceptsHerndon, VA, United States
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We are seeking a Machine Learning Engineer to join our team.Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in Natio...[internal_linking.show_more]

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Machine Learning Engineer

WaymoMountain View, CA, United States
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Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on buildin...[internal_linking.show_more]

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Machine Learning Engineer

SardineNorth America; Canada; United States
[filters.remote]
[job_card.full_time]

We are a leader in fraud prevention and AML compliance.Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens.Today, over 300 banks, re...[internal_linking.show_more]

Machine Learning Engineer

Motion RecruitmentBoston, MA, United States
[job_card.full_time]

Our client, a major insurance and financial services institution, is seeking a Machine Learning Engineer to support the development and delivery of data-driven solutions across key initiatives.The ...[internal_linking.show_more]

Machine Learning Engineer

SynergisticITRio Rancho, NM, US
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Want to Get Hired by Top Tech Companies? SynergisticIT Is Where Your Career Begins.If you're a Java developer, software programmer, data scientist, or data analyst struggling to break into the tech...[internal_linking.show_more]

Machine Learning Engineer

Booz Allen HamiltonUSA, VA, McLean, Direct Charge
[job_card.full_time] +1

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets.Your ability to conduct statistical analyses on business processes using ML t...[internal_linking.show_more]

Machine Learning Engineer

Sumeru SolutionsUnited States
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Machine Learning Engineer Remote Candidate need to work in PST HRS Mandatory 1.Machine Learning & Model Development Expert <...[internal_linking.show_more]

Machine Learning Engineer

eTeamSunnyvale, CA, United States
[job_card.full_time]

Do you have a pre-identified candidate? New sourcing? Existing Subcon?- New sourcing.Max Hourly Pay Rate to the candidate?:.Do you have a preferred interview schedule?: Yes.Would you require the ca...[internal_linking.show_more]

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Machine Learning Engineer

Machine Learning Engineer

BASELAYERSan Francisco, CA, United States
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  • [job_card.full_time]
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About Baselayer:

Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer's B2B risk solutions & identity graph network leverage state & federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses.

About You:

You want to learn from the best of the best, get your hands dirty, and put in the work to hit your full potential. You're not just doing it for the win-you're doing it because you have something to prove and want to be great. You are looking to be an impeccable machine learning engineer working on cutting-edge AI solutions.
  • You have 4-8 years of experience in machine learning development, working with Python and building ML models
  • You're comfortable working with large-scale data and enjoy optimizing performance for computationally intensive ML systems
  • You have a strong foundation in AI/ML fundamentals, particularly with LLMs, and are eager to experiment with emerging techniques
  • You prioritize responsible AI practices and model governance, especially in regulated environments like KYC/KYB
  • You have a keen eye for detail and take pride in writing clean, maintainable code while optimizing for model performance
  • You thrive in a high-trust, ownership-focused environment and are comfortable working across different levels of abstraction
  • Problem-solver who navigates the unknown confidently
  • Proactive self-starter who thrives in dynamic settings
  • Incredibly intelligent and clever. You take pride in your models
  • Highly feedback-oriented. We believe in radical candor and using feedback to get to the next level
Responsibilities:
  • Model Development & Integration: Build and maintain ML models and integrate them with various data sources, ensuring scalability, high performance, and adaptability for autonomous agents in the GTM space
  • ML System Design: Architect and design core ML services that support KYC/KYB processes, leveraging knowledge graphs and LLMs for dynamic use cases
  • Data Processing & Feature Engineering: Develop and maintain robust data pipelines for feature extraction and transformation, focusing on scalability and performance when handling large-scale, high-dimensional data
  • Advanced ML Techniques: Implement and experiment with state-of-the-art techniques including reinforcement learning from human feedback (RLHF) and parameter-efficient fine-tuning methods (e.g., LoRA) to improve LLMs for specific use cases within the identity space
  • ML Infrastructure: Build and maintain infrastructure for model training, evaluation, and deployment, creating a scalable platform foundation for continued innovation
  • Model Governance & Compliance: Ensure ML systems meet industry standards for fairness, explainability, and compliance, particularly around KYC/KYB regulations
  • Performance Optimization: Implement optimizations for model inference and training, ensuring ML services can efficiently process identity data while maintaining reliability
  • Experimentation & Evaluation: Design and conduct experiments to evaluate model performance, debug issues, and monitor ML services, while continuously improving architectures to handle diverse data and use cases
Work Location
  • Hybrid in SF. In office 3 days/week
Compensation and Benefits
  • Salary range of $145,000 to $225,000
  • Equity package
  • Unlimited vacation
  • Fully paid health insurance, dental, and vision
  • 401(k) with company match