Machine Learning EngineerTwo Dots • San Francisco, CA, United States
[error_messages.no_longer_accepting]
Machine Learning Engineer
Two Dots • San Francisco, CA, United States
[job_card.30_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]2+ years of experience in a Machine Learning or Data Engineering role, with a strong proficiency in Python and ML frameworks like PyTorch required Proven ability to improve models for key information extraction, including named entity recognition and matching, and financial document classification Experience with active learning, HITL driven workflows; working with large labeling and quality teams is a plus Strong problem solving skills, with the ability to think critically and creatively Excellent communication and interpersonal skills, capable of explaining complex operational information in an understandable way A proactive, curious mindset with a relentless pursuit of excellence and innovation in tackling complex problems Hungry for personal and professional growth and ready to scale with Two Dots! An opportunity to revolutionize the real estate leasing industry and own projects that make a tangible impact An environment with a work culture that is based on trust, ownership, flexibility and a growth mindset A competitive salary, comprehensive equity package, and substantial benefits
Join Two Dots to build a stronger financial system.
Every time someone applies for a mortgage, car loan, or apartment lease, they submit financial documents that humans use to build a financial profile about them. The quality of these financial profiles is a key input that regulates the body temperature of the economy.
Two Dots is building a better system to evaluate consumers consistently and fairly. We prevent fraud that humans can’t see, and we surface value in atypical applications that would otherwise be discarded.
Please note that we require all full-time employees to work from our office in San Francisco, CA.
Role overview
Reporting directly to our Co-Founder and CTO, Two Dots is looking for our first-ever Machine Learning Engineer. In this role you will design, develop, and deploy machine learning solutions, with a focus on fine tuning multimodal large language models (LLMs) to solve real-world problems. The ideal candidate will have a passion for building and deploying advanced ML applications, with the aim to produce business impact and client satisfaction.
Key responsibilities
- Work autonomously to design, develop and deploy machine learning models
- Analyze large datasets to uncover insights and trends that inform product development and personalized customer experiences
- Continuously monitor and improve the performance of deployed models, ensuring they meet business objectives and scalability requirements
- Stay up to date with the latest advancements in machine learning, AI, data science and engineering, and apply this knowledge to improve our products and services
Desirable traits
What you get in return
Closing
Two Dots is an equal opportunity employer. We aim to build a workforce of individuals from different backgrounds, with different abilities, identities, and mindsets. Even if you do not meet all of the qualifications listed above, we encourage you to apply!
Compensation is variable and is subject to a candidate’s personal qualifications and expectations. For this role, we offer the following base salary range, in addition to an equity package and full benefits : $150k - $225k per year.
#J-18808-Ljbffr
[job_alerts.create_a_job]
Machine Learning Engineer • San Francisco, CA, United States
[internal_linking.related_jobs]
Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations.The company...[show_more]
Mind Company's mission is to build non-invasive neural interfaces - that is, enabling a communication layer between humans and other humans or computers, directly using thoughts.In pursuit of this ...[show_more]
Mercor is training models that predict how well someone will perform on a job better than a human can.Similar to how a human would review a resume, conduct an interview, and decide who to hire, we ...[show_more]
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences.
We offer creators a variety of ways to engage with their fans ...[show_more]
A company is looking for a Machine Learning Engineer.Key Responsibilities Collaborate with cross-functional teams to translate business requirements into technical solutions Partner with Data En...[show_more]
At Scribd (pronounced “scribbed”), our mission is to spark human curiosity.Join our team as we create a world of stories and knowledge, democratize the exchange of ideas and information, and empowe...[show_more]
Entry Level ML Engineer Needed for Growing AI Startup!.This Jobot Job is hosted by : Reed Kellick.Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary : ...[show_more]
Commerce brands to transform clicks into conversions with highly-personalized , 1 : 1 dynamic shopping experiences.We've raised $30M+ to date and are backed by Bain Capital Ventures, Greylock, QED, a...[show_more]
Strava is the app for active people.With over 150 million athletes in more than 185 countries, Strava is where connection, motivation, and personal bests thrive.
No matter your activity, gear, or go...[show_more]
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing.
We believe massive scale through data-driven machin...[show_more]
Collaborate with global teams to deliver high-impact data products for worldwide deployment.Develop and maintain ML pipelines to optimize critical processes for global lending products, including a...[show_more]
Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses.We've raised $65 million from Silicon Valley's finest; Including Emergence Cap...[show_more]
Curai Health is an AI-powered virtual clinic on a mission to improve access to care at scale.As the pioneer in deploying machine learning into clinical workflows, Curai Health enables its dedicated...[show_more]
Mariana Minerals is looking for a highly motivated Machine Learning Engineer to work on building the critical minerals supply chain.
As a Machine Learning Engineer at Mariana Minerals, you will lead...[show_more]
Onyx is a popular open source project with hundreds of thousands of users.The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of da...[show_more]
We're a leading partner in social commerce, collaborating with major athletic wear, footwear, and electronics brands to expand their influencer -driven sales channels.
Having achieved significant re...[show_more]
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day.
We believe everyone deserves a fair sh...[show_more]
Machine Learning Engineer, Training Infrastructure.We are looking for an ML Engineer with .ML workloads at scale, supporting our 3DVAE and video diffusion models.
We encourage you to apply even if y...[show_more]
Machine Learning Engineer
Hive • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Lead Machine Learning Engineer
Mind Company • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer (SWE)
Mercor • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer, Relevance
Patreon • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer
VirtualVocations • Oakland, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer
Scribd • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer
Jobot • San Francisco, CA, US
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Founding Machine Learning Engineer
Fermàt • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Platform Engineer
Strava • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Machine Learning Engineer
Skild AI • San Mateo, Pennsylvania, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Staff Machine Learning Engineer
Pivotal Solutions • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer
Bland • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer
Curai • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer
Mariana Minerals • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer
Onyx • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Senior Machine Learning Engineer
Rainesdev • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_variable_days] • [promoted]
Machine Learning Engineer I
Lumapps • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]
Machine Learning Engineer, Training Infrastructure
Intellipro Group • San Francisco, California, United States
[job_card.full_time]
[last_updated.last_updated_30] • [promoted]