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Eqvilent

ML Engineer

2 months ago
Eqvilent · Remote
RemoteFull-timePython · TensorFlow
Eqvilent

Infrastructure Support Engineer (Cloud & Systems)

2 months ago
Eqvilent · Remote
RemoteFull-timeAWS · Azure
Eqvilent

FPGA Developer

2 months ago
Eqvilent · Remote
RemoteFull-timeFPGA · Verilog
Eqvilent

DL Researcher

2 months ago
Eqvilent · Remote
RemoteFull-timeTensorFlow · PyTorch
Eqvilent

Analyst (Exchanges)

2 months ago
Eqvilent · Remote
RemoteFull-timePython
Erasca

SVP Biometrics

2 months ago
Erasca · San Diego, CA
HybridFull-time
ePlus Technology, inc.

Solutions Architect, Presales (Req #1336)

2 months ago
ePlus Technology, inc. · New York, NY
HybridFull-timeAzure · GPU
ePlus Technology, inc.

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2 months ago
ePlus Technology, inc. · Irvine, CA
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ePlus Technology, inc.

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2 months ago
ePlus Technology, inc. · Irvine, CA
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2 months ago
ePlus Technology, inc. · Irvine, CA
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ePlus Technology, inc.

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2 months ago
ePlus Technology, inc. · San Ramon, CA
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ePlus Technology, inc.

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2 months ago
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2 months ago
ePlus Technology, inc. · Remote, US
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2 months ago
ePlus Technology, inc. · Minnesota, MN
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ePlus Technology, inc.

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2 months ago
ePlus Technology, inc. · Irvine, CA
HybridFull-timeAzure · GPU
ePlus Technology, inc.

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2 months ago
ePlus Technology, inc. · Denver, CO
On-siteFull-timeAzure · GPU
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2 months ago
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General Interest

2 months ago
Equilibrium Energy · San Francisco, CA
HybridFull-time
Epic Games

Senior Desktop Applications Engineer

2 months ago
Epic Games · Cary, NC
On-siteFull-timeC++ · Unreal Engine
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Senior Director, Product Management (Unreal Ecosystem)

2 months ago
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  • Eqvilent

    ML Engineer

    Eqvilent · Remote · posted 2 months ago
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    Remote
    Stack
    Python, TensorFlow, PyTorch, Pandas
    About Eqvilent →

    The full posting

    We are seeking an ML Engineer who will assist in constructing a system to validate data and ML models. The ideal candidate should be intelligent, contemplative, and composed. They should not rush through tasks, instead diving deeply into the code and being attentive to details.

    WHAT YOU’LL BE DOING:

    • The task involves the development and upkeep of data pipelines for training and evaluating models
    • Exploratory data analysis will be conducted to enhance model accuracy and performance
    • Experiments and evaluations of machine learning models will be carried out to identify and address any issues

    WHAT WE LOOK FOR IN YOU:

    • Strong experience in machine learning
    • Experience in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation
    • Strong analytical and problem-solving skills, as well as attention to details

    WHY SHOULD YOU JOIN OUR TEAM?

    • Great challenges with many opportunities to prove yourself
    • A welcoming group of highly qualified international professionals
    • Cutting-edge hardware and technology
    • Work remotely from anywhere in the world
    • Access any of our global offices anytime
    • 40 paid days off
    • Competitive salary and performance-based bonuses