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Labelbox
San Francisco, CA, United States
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-
Job Source: LabelboxAttentive
San Francisco, CA, United States
About Attentive: Attentive is the AI marketing platform for leading brands, designed to optimize message performance through 1:1 SMS and email interactions. Infusing intelligence at every stage of the consumer's purchasing journey, Attentive empowers businesses to achieve hyper-personalized communication with their customers on a large scale. Leve
Job Source: AttentiveHive
San Francisco, CA, United States
About Hive 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 empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive al
Job Source: HiveChime
San Francisco, CA, United States
About the Role In this role, you'll be part of the Data Science/Machine Learning and Platform team, responsible for developing innovative data solutions at Chime. You will work across teams at Chime to ensure that the data-related needs of various business domains such as fraud, credit, marketing, and product are met. You will own strategic initia
Job Source: ChimeClari
San Francisco, CA, United States
Clari’s Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive reve
Job Source: ClariLuminai
San Francisco, CA, United States
At Luminai we develop technology to reliably migrate and manage enterprise business processes with scalable automation infrastructure, using safe and effective AI. We're working hard on helping people spend less time on repetitive monotonous tasks that a computer could do, and instead let them focus on things that matter. Luminai is revolutionizin
Job Source: LuminaiRemedy Robotics
San Francisco, CA, United States
About Remedy Robotics Cardiovascular disease is the #1 cause of morbidity and mortality in the world. Much of this could be prevented with better access to specialist care. Take stroke as an example: any delay in treatment can lead to permanent disability or death. However, due to a lack of specialist surgeons, the most effective intervention can o
Job Source: Remedy RoboticsSPAN Inc
San Francisco, CA, United States
The Role We aim to establish the Span panel as the center of home energy and the backbone of the renewable distributed grid. Analytics and ML are essential tools to develop features for the smart, green, energy-efficient home of the future. Span’s unique ability to monitor and control individual circuits opens up a new avenue for proactive whole-ho
Job Source: SPAN IncSouth San Francisco, CA, United States
Reveal HealthTech is a dedicated healthcare life sciences focused technology services company – helping our clients with a range of AI and product engineering services. Reveal’s mission is to unleash the full potential of technology for our clients by prioritizing trust, agility, and expertise. We bring together domain understanding and engineering excellence to create meaningful products and platforms. Our multi-dimensional team is made up of industry experts, product designers and passionate software engineers located across the US and India.
If all of this resonates with you and building a business from 0 to 1 excites you, read on to the JD.
Requirements
What do we need?
We are looking for a talented and passionate Staff Machine Learning Engineer to join our growing team. As a technical lead, you will be responsible for architecting, developing, and deploying cutting-edge machine learning solutions. Your experience with NLP, LLMs, and Generative AI will drive product success and your knowledge of scaling products while integrating new capabilities will enable project success. You will work closely with our cross-functional teams to gather requirements, design solutions, and ensure effective implementation to meet our clients' needs.
Responsibilities As a Machine Learning Engineer, your key responsibilities would include:
Data Exploration and Preprocessing: Work with large and complex healthcare and life-sciences datasets, cleaning and preprocessing the data to ensure data quality for model training and evaluation.
Model Development: Design, develop, and train machine learning models and algorithms using appropriate techniques and frameworks.
Evaluation and Optimization: Evaluate the performance of machine learning models and optimize them for better accuracy, reliability, and efficiency.
Feature Engineering: Extract and engineer relevant features from healthcare and life-sciences data to enhance model performance and predictive power.
Deployment and Integration: Deploy machine learning models and algorithms into production environments and integrate them with existing systems or workflows.
Monitoring and Maintenance: Continuously monitor and maintain machine learning models to ensure their performance and effectiveness over time.
Collaboration: Collaborate with data scientists, software engineers, and other cross-functional teams to understand requirements, facilitate data-driven decision making, and drive innovative solutions.
Documentation: Document and communicate methodologies, algorithms, findings, and recommendations to technical and non-technical stakeholders.
Key Skills and Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree or higher is preferred.
Experience leading a product team of Machine Learning Engineers, Software Engineers, and Data Scientists or proven ability to guide and mentor team members effectively.
Proven ability to lead and manage projects with hands-on experience working on user-facing products.
Experience in interacting with external stakeholders to gather requirements, provide updates, and ensure alignment with project goals.
Proven experience as a Machine Learning Engineer or a similar role with strong proficiency in machine learning techniques, algorithms, and frameworks such as TensorFlow, PyTorch, or scikit-learn.
Proficiency in programming languages such as Python or R.
Expertise in developing and deploying NLP models.
Ability to fine-tune and customize LLMs for specific applications.
Hands-on experience with generative AI techniques and frameworks.
Demonstrated experience in scaling products from prototype to production.
Experience with AWS cloud platform is required, experience with GCP is a plus.
Strong problem-solving and analytical skills.
Excellent communication, organization, and collaboration abilities.
Experience with life-sciences or healthcare data is a plus
How you will enrich us?
Energetic and enthusiastic
Autonomous and self-motivated
Growth mindset
Embraces challenges
Building new things gets your blood pumping!
Curiosity and deep interest in the world
Challenges the status quo constructively
Benefits
What do you get in return? Be part of a growing/amazing team - A great opportunity to be part of 0-1 of a new age technology services & product engineering company in a risk adjusted environment with high upside for initial members.
Trust over control - We believe in strong business fundamentals and possesses vision for scale from day 1. Truly, people are our greatest winners and we want to make sure your full potential is met in the job.
Numerous on-the-job-and-beyond learning opportunities - We already have a curated list of courses you can dive right in!
Comprehensive benefits - We want you to build a long-term career with us.
Next Steps Send us your updated CV - if you can mention how you have enriched your previous organisation in a cover letter, that would be great!
If we find your profile suitable, we will have our Talent personnel to reach out to you to understand your profile/interests and how best we can mutually align.
You would have a job-based interview and a leadership chat as the next rounds.
Finally, you would have a case study based interview with our senior stakeholders.
Email Alert for Staff Machine Learning Engineer jobs in South San Francisco, CA, United States
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