Talent.com
ML Engineer, Discovery Applications
ML Engineer, Discovery ApplicationsMithrl Inc. • San Francisco, CA, United States
ML Engineer, Discovery Applications

ML Engineer, Discovery Applications

Mithrl Inc. • San Francisco, CA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

ABOUT MITHRL

We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.

Mithrl is building the world’s first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with analysis, novel targets, hypotheses, and patent-ready reports.

Our traction speaks for itself :

  • 12X year-over-year revenue growth
  • Trusted by leading biotechs and big pharma across three continents
  • Driving real breakthroughs from target discovery to patient outcomes.

ABOUT THE ROLE

We are hiring an ML Engineer, Discovery Applications to build the high level, end-to-end scientific workflows that power real bench to bench decision making inside the Mithrl platform. This role focuses on building the application layer on top of the AI Co-Scientist. Your work will shape how scientists discover biomarkers, identify and validate targets, design experiments, and run early discovery programs that extend all the way to IND-enabling work.

This role requires a deep understanding of the discovery and preclinical development cycle. You should understand how research teams move from early target hypotheses to biomarker strategy, hit identification, hit to lead, lead optimization, and preclinical validation. Your applications will support decision making across this entire arc and will be consumed directly by scientists and program teams.

You will design multi step workflows that combine analysis modules, ML models, domain logic, and agentic reasoning into complete applications. These applications cover biomarker discovery, target ID, target validation, small molecule hit identification and optimization, and gene therapy workflows. You will also extend applications to support new data modalities as our platform expands.

WHAT YOU WILL DO

  • Build full discovery applications that support biomarker identification, target discovery, target validation, small molecule design workflows, and gene therapy programs
  • Stand up new analyses that support application logic and improve or extend the existing analysis suite
  • Create multi step reasoning flows that integrate ML models, statistical methods, pathway context, simulation tools, and biological domain logic
  • Design application specific workflows for compound evaluation, program prioritization, and multi modal evidence integration
  • Extend existing applications to incorporate new data modalities and new analysis routines
  • Build reusable frameworks for Design of Experiments across biomarker discovery, target ID, validation, small molecule programs, and gene therapy
  • Implement and improve the AI systems that orchestrate and chain analyses into coherent applications used directly by scientists
  • Collaborate closely with ML engineers, bioinformatics teams, and data ingestion teams to ensure workflows run on consistent data
  • Validate scientific correctness and ensure applications produce accurate, reproducible, and interpretable results
  • WHAT YOU BRING

    Required Qualifications

  • Strong experience in ML, computational biology, scientific computing, or a related field
  • Deep understanding of the drug discovery and preclinical development cycle including early discovery, target identification, target validation, hit identification, hit to lead, lead optimization, and IND-enabling work
  • Experience building analytical workflows or application logic for biological or scientific data
  • Familiarity with key discovery analysis methods such as differential expression, pathway analysis, clustering, enrichment, and target scoring
  • Proficiency in Python and scientific computing libraries and comfort with building multi step workflows
  • Ability to convert scientific questions into structured, reproducible workflows that support real decision making
  • Strong communication skills and ability to collaborate with cross functional engineering and biology teams
  • Nice to Have

  • Experience building LLM powered agents or multi agent reasoning systems
  • Experience with multi modal biological data integration
  • Experience with computational chemistry tools such as docking or ADMET modeling
  • Familiarity with biological ontologies, curated knowledge sources, or pathway databases
  • Prior experience in a tech bio startup, biotech R&D group, or scientific software platform
  • WHAT YOU WILL LOVE AT MITHRL

  • High ownership and impact : You will build the decision making applications that scientists rely on throughout the discovery and preclinical process
  • Team : Join a tight-knit, talent-dense team of engineers, scientists, and builders
  • Culture : We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
  • Speed : We ship fast (2x / week) and improve continuously based on real user feedback
  • Location : Beautiful SF office with a high-energy, in-person culture
  • Benefits : Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans
  • We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

    #J-18808-Ljbffr

    [job_alerts.create_a_job]

    ML Engineer Discovery Applications • San Francisco, CA, United States

    [internal_linking.similar_jobs]
    Remote Senior ML Engineer – LLMs, DL & MLOps

    Remote Senior ML Engineer – LLMs, DL & MLOps

    Zendesk • San Francisco, CA, United States
    [filters.remote]
    [job_card.full_time]
    A customer experience software company is seeking a Machine Learning Engineer to join their Enterprise Machine Learning team. This role emphasizes the development of advanced ML solutions, particula...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior ML Research Engineer : Production LLMs & Multimodal

    Senior ML Research Engineer : Production LLMs & Multimodal

    DRH Search • San Francisco, CA, United States
    [job_card.full_time]
    A leading AI startup is seeking senior ML research engineers for their office in San Francisco.The role involves developing models for customer support, experimenting to improve latency, and transl...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Applied ML Engineer

    Applied ML Engineer

    fal • San Francisco, CA, United States
    [job_card.full_time]
    You are an ML Engineer who has a broad view of the generative media space and an update‑to‑date awareness of new methods in the space. You can spot products and features that are missing in the curr...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior ML Engineer

    Senior ML Engineer

    VirtualVocations • Oakland, California, United States
    [job_card.full_time]
    A company is looking for a Senior ML Infrastructure Engineer - Music.Key Responsibilities Collaborate with research scientists on music generation and related domains Improve model training pipe...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Applied ML Engineer : Personalization & LLM-Driven Discovery

    Applied ML Engineer : Personalization & LLM-Driven Discovery

    Perplexity AI Inc. • San Francisco, CA, United States
    [job_card.full_time]
    A leading AI solutions provider in San Francisco seeks an Applied ML Engineer to design and build advanced AI models.You will leverage your expertise in machine learning to create impactful solutio...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior ML Engineer, Perception & Sensor Pipelines Lead

    Senior ML Engineer, Perception & Sensor Pipelines Lead

    Waymo • San Francisco, CA, United States
    [job_card.full_time]
    A leading autonomous driving technology company is seeking an experienced Machine Learning Engineer to lead the development of robust data platforms for large-scale system evaluations.You'll collab...[show_more]
    [last_updated.last_updated_30] • [promoted]
    Senior ML Engineer : Agentic AI & LLM Systems Lead

    Senior ML Engineer : Agentic AI & LLM Systems Lead

    Salesforce, Inc. • San Francisco, CA, United States
    [job_card.full_time]
    A leading technology company is looking for a Machine Learning Engineer to develop a next-generation AI platform.You will be responsible for designing and implementing AI systems in collaboration w...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior ML Engineer, Perception — Remote-Eligible Autonomy

    Senior ML Engineer, Perception — Remote-Eligible Autonomy

    Serve Robotics • Redwood City, CA, United States
    [filters.remote]
    [job_card.full_time]
    A leading robotics company is seeking a Senior Machine Learning Engineer, Perception, to focus on cutting-edge ML models and scalable systems. The engineer will design auto-labeling pipelines that p...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior ML Engineer — Pricing Platform & Systems

    Senior ML Engineer — Pricing Platform & Systems

    Uber • San Francisco, CA, United States
    [job_card.full_time]
    A leading technology company is seeking a Senior Staff Machine Learning Engineer to lead the development of advanced ML systems for courier pricing. The role demands extensive experience in building...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Senior ML Engineer — Large-Scale Search & Discovery

    Senior ML Engineer — Large-Scale Search & Discovery

    Scribd, Inc. • San Francisco, CA, United States
    [job_card.full_time]
    A leading digital content platform based in San Francisco is seeking a Senior Machine Learning Engineer to lead the design and optimization of ML features. This role involves working across the enti...[show_more]
    [last_updated.last_updated_30] • [promoted]
    ML Infrastructure Engineer - Scale AI for Drug Discovery

    ML Infrastructure Engineer - Scale AI for Drug Discovery

    ESR Healthcare • San Francisco, CA, United States
    [job_card.full_time]
    A healthcare technology firm in San Francisco is seeking a Machine Learning Engineer to enhance drug discovery processes using innovative machine learning techniques. You will design and maintain re...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Remote ML Engineer (Contract) — High-Impact & Flexible

    Remote ML Engineer (Contract) — High-Impact & Flexible

    Alignerr • San Francisco, CA, United States
    [filters.remote]
    [job_card.full_time]
    A leading technology company is looking for a Software Engineer - Machine Learning to create high-quality ML solutions and review AI-generated code. The ideal candidate should have expertise in mach...[show_more]
    [last_updated.last_updated_30] • [promoted]
    ML Research Engineer, ML Systems

    ML Research Engineer, ML Systems

    Scale AI, Inc. • San Francisco, CA, United States
    [job_card.full_time]
    Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and opera...[show_more]
    [last_updated.last_updated_30] • [promoted]
    ML Engineer, Discovery Applications

    ML Engineer, Discovery Applications

    Mithrl • San Francisco, CA, US
    [job_card.full_time]
    We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought. Mithrl is building the world’s first commercially...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    ML Products Engineer — Discovery & Recommendations

    ML Products Engineer — Discovery & Recommendations

    Amazon • San Francisco, CA, United States
    [job_card.full_time]
    A leading streaming service provider in San Francisco is seeking a Software Engineer to join their ML Products team.This role involves maintaining and enhancing systems that improve content discove...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    Founding ML Research Engineer - Training Infrastructure

    Founding ML Research Engineer - Training Infrastructure

    Kalpa Labs (YC F25) • San Francisco, CA, United States
    [job_card.full_time]
    Founding ML Research Engineer - Training Infrastructure.This range is provided by Kalpa Labs (YC F25).Your actual pay will be based on your skills and experience — talk with your recruiter to learn...[show_more]
    [last_updated.last_updated_variable_days] • [promoted]
    ML Engineer for Scientific Discovery in Cryopreservation

    ML Engineer for Scientific Discovery in Cryopreservation

    Until • San Francisco, CA, United States
    [job_card.full_time]
    A moonshot company is seeking a Machine Learning Engineer / Scientist in San Francisco.You will develop ML systems that drive scientific discovery, focusing on cryopreservation technologies.Ideal can...[show_more]
    [last_updated.last_updated_30] • [promoted]
    ML Research Engineer, ML Systems

    ML Research Engineer, ML Systems

    Scale AI • San Francisco, CA, United States
    [job_card.full_time]
    Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and opera...[show_more]
    [last_updated.last_updated_30] • [promoted]