Logo for Anlatan

Machine Learning Engineer

Role overview

Qualifications

  • Experience with pytorch, python
  • Past experience with training NLP or Image models
  • Able to read cutting edge ML papers, implement them in pytorch and accurately reproduce
  • Strong knowledge of computer science fundamentals, including algorithms and data structures

Responsibilities

  • Working with our distributed training stack to start training runs and tracking them closely
  • Contributing to our ML codebases and adding new models, algorithms and features
  • Experimenting with new model architectures and designs, and getting them production ready
  • Training and finetuning models, and adapting them to our products by taking tester feedback and iterating over the trained models

About the company

Anlatan logo

Anlatan

Artificial Intelligence & Machine Learning Services

We're working on cutting edge AI and making the best possible AI-fueled products. We pride ourselves on being user-friendly, privacy-safe, and censorship-free. We're a ragtag team of personalities, focused on crafting the best of the best in the AI world.

Company details

IndustryArtificial Intelligence & Machine Learning Services
Company size11 - 50

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Description
Anlatan is a company working on cutting edge AI and making the best possible AI-fueled products. We pride ourselves on being user-friendly, privacy-safe, and censorship-free. We're a ragtag team of personalities, focused on crafting the best of the best in the AI world.

We are seeking a skilled Machine Learning Engineer to join our team. In Anlatan, you will be developing code and model architectures to train cutting edge LLMs and Image models in our compute cluster.

Responsibilities
  • Working with our distributed training stack to start training runs and tracking them closely.
  • Contributing to our ML codebases and adding new models, algorithms and features.
  • Experimenting with new model architectures and designs, and getting them production ready.
  • Training and finetuning models, and adapting them to our products by taking tester feedback and iterating over the trained models.

  • Requirements
  • Experience with pytorch, python
  • Past experience with training NLP or Image models.
  • Able to read cutting edge ML papers, implement them in pytorch and accurately reproduce.
  • Strong knowledge of computer science fundamentals, including algorithms and data structures.
  • Machine learning fundamentals
  • Good problem-solving and troubleshooting skills.

  • Bonus Points
  • Knowledge in Kubernetes and SLURM
  • Distributed computing knowledge to contribute to our distributed ML training stack.
  • Experience with JAX
  • Experience with Triton
  • Why work for us?
    We're working fast to send ripples through the ever-moving field of AI, we offer a competitive salary package, and of course, we're all pretty fun to work with.

    We offer a competitive salary and benefits, including:
    - A casual and flexible work environment
    - A culture focused on pushing the envelope and having fun while doing it
    - Incredibly flexible PTO

    For US Citizens
    - Health Insurance
    - Vision and Dental Insurance
    - Life Insurance and Disability
    - 401k (3% Match 100%, 2% Match 50%)

    For non-US Citizens
    - Health Insurance
    - Vision and Dental Insurance

    Beyond all else, our members are encouraged to:

    1. Explore and Experiment
    Unless we’re completely focused on getting a specific feature done, feel free to try something new out! Every idea brought to the table is appreciated and discussed.

    2. Work Stress-free
    We’re here to push boundaries in the AI consumer world, but that doesn’t mean you can’t have a little fun along the way. Our entire team emerged from the internet, so we’re a long ways from professional.

    3. Ask For Help
    No one is all-knowing. Sometimes all you need a little poke in the right direction to get something done. Never be afraid to reach out if it means getting your problem solved sooner rather than later.

    4. Interact with the Community
    Our community is what keeps us going, and we try to recognize that every single day. A primary goal of ours is to stay connected, and we pursue that by keeping in touch with our users through multiple different mediums.

    Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
    ·

    Machine Learning Engineer Related jobs

    Other jobs at Anlatan

    Premium

    Reach out to the hiring manager directly.

    Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

    • Full match report with fit score and gaps
    • Career diagnostics on how recruiters read you
    • Curated company matches and warm intros
    • 48h early access to new roles

    Cancel anytime.