Demo

Senior Machine Learning Engineer

Laurel
Bodega, CA Full Time
POSTED ON 2/12/2025
AVAILABLE BEFORE 4/28/2025

Job Description

Job Description

Laurel's Mission to Return Time :

We're a team that is connected by time. Life has taught us its true value and finite nature. We value every minute and are on a mission to return time . And we live and breathe that mission in everything we do — from how we build our product that saves our customers time to how we operate as a company.

Come work with a team that's intelligent yet humble, visionary yet gets things done. A team that's only getting started at cracking a problem that affects every person who uses a screen to work.

Come build a company that will stand the test of time as we look to understand time itself.

We all waste a staggering amount of time at work (~33%) because we have no idea where we are spending it. Worse yet, we continue to operate in a factory model that simply does not apply to creative work. Our big bet is that by understanding time, we'll be able to move away from it as a unit of value. In the future knowledge economy (lawyers, accountants, engineers), contributions will be assessed on value added, not the underlying time spent adding it.

Ambitious mission to say the least, so where are we starting? We have created a new market category called Time Automation that automates the timekeeping process for professionals and allows us to collect time data at scale. Before Laurel , professionals had to manually record every six minutes of their day into antiquated timekeeping software. Not anymore. We are moving away from a world in which humans tell a machine what they did at work, to our version of the world in which the machine tells the human.

We are looking for individuals who share our passion of returning time. Come join us on our journey as we spend time solving time. It will be a long road but if we're even half right, we'll change the way work is measured and performed forever.

About the Role

As a Senior Machine Learning Engineer, you will lead efforts to build models and services that support our core timekeeping product. You'll collaborate closely with cross-functional teams to design and deploy cutting-edge machine learning to support core product features. Beyond developing models, you'll build and shape our engineering services that support training and deploying models.

Responsibilities

Machine Learning and Language Models :

  • Leverage and customize pre-trained language models (e.g., GPT, BERT, LLama) to solve specific text-processing problems for downstream applications.
  • Develop and implement advanced text embedding techniques for tasks such as similarity search, clustering, and semantic understanding.
  • Integrate embeddings into scalable systems for personalization
  • Lead the development of core NLP components like tokenization and named entity recognition.
  • Research and implement cutting-edge methods for text representation, generation, and augmentation.

Engineering :

  • Build and deploy end-to-end machine learning pipelines that scale efficiently in production environments.
  • Optimize training and inference workflows to minimize latency and maximize throughput on large datasets.
  • Preprocess and clean large text datasets to prepare them for machine learning tasks.
  • Engineer new features and data representations to enhance model performance.
  • Develop APIs and interfaces for seamless access to text models and embeddings.
  • Establish metrics to evaluate the performance of text-based ML systems (e.g., precision, recall, BLEU scores).
  • Implement tools to monitor models in production for drift, performance degradation, and bias.
  • Cross-Functional Collaboration and Communication :

  • Collaborate with software engineers to integrate ML models into production systems, ensuring robustness, reliability, and maintainability.
  • Work closely with product managers, data scientists, and domain experts to align machine learning solutions with business goals.
  • Maintain clear and comprehensive documentation of ML models, data pipelines, and systems architecture.
  • Other engineering duties :

  • Attend quarterly offsites (required travel), team standups, and other company meetings.
  • Participate in an on-call rotation.
  • What We're Looking For

    The following are our non-negotiables for candidates.

  • A developer with strong Python skills building and deploying machine learning models.
  • A ML systems thinker. Someone who can formulate a general product request into a machine learning problem and develop a clear document outlining the solution.
  • Experience with orchestration tools like Airflow.
  • Experience with AWS
  • Familiarity with Git
  • Experience with taking part in a regular engineering oncall rotation
  • Experience with Pytorch or Tensorflow
  • Experience with utilizing LLMs in a production system including RAG and fine-tuning
  • Excellent communication skills
  • Nice to haves

    The following are things that we are looking for in a standout candidate and would help make this role a perfect fit.

  • Experience with PostgreSQL
  • Experience with Django
  • Experience building agents
  • Experience with FastAPI
  • Flexibility and Logistics :

  • Location : This role will be hybrid in our LA, SF, or NY offices 3 days per week; we may consider Remote US candidates on a case-by-case basis.
  • Additional Benefits : Comprehensive medical / dental / vision coverage, 401(k), and additional benefits including commuter stipends, and company offsites.
  • Compensation : For candidates based in NY, SF or LA, the compensation range for this role is $160,000-$210,000 USD. Final compensation amounts will be determined based on several factors including candidate experience, technical qualifications and expertise and may vary from the amounts listed.
  • Visa Sponsorship : We will evaluate requests for Visa sponsorship on a case-by-case basis.
  • What happens if my kid or I are sick on a workday? Take all the time you need! We'll cover for you. And send you some soup.
  • LI-Remote

    Not sure if you meet the qualifications? Keep reading…

    At Laurel , we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge the status quo. If you're interested in joining us on our mission to return time, then we encourage you to apply, even if you don't perfectly match every single bullet on the job description. We promise to review your application . Laurel is an equal opportunity employer, and we celebrate diversity and are committed to creating an inclusive environment, free from discrimination or harassment, for all employees.

    Salary : $160,000 - $210,000

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