diff --git a/src/sagemaker/transformer.py b/src/sagemaker/transformer.py
index 0c2f36b414..4ea198433a 100644
--- a/src/sagemaker/transformer.py
+++ b/src/sagemaker/transformer.py
@@ -90,6 +90,7 @@ def __init__(
         self.base_transform_job_name = base_transform_job_name
         self._current_job_name = None
         self.latest_transform_job = None
+        self._reset_output_path = False
 
         self.sagemaker_session = sagemaker_session or Session()
 
@@ -146,10 +147,11 @@ def transform(
 
             self._current_job_name = name_from_base(base_name)
 
-        if self.output_path is None:
+        if self.output_path is None or self._reset_output_path is True:
             self.output_path = "s3://{}/{}".format(
                 self.sagemaker_session.default_bucket(), self._current_job_name
             )
+            self._reset_output_path = True
 
         self.latest_transform_job = _TransformJob.start_new(
             self,
diff --git a/tests/integ/test_transformer.py b/tests/integ/test_transformer.py
index 989b074380..c519cb6786 100644
--- a/tests/integ/test_transformer.py
+++ b/tests/integ/test_transformer.py
@@ -301,6 +301,53 @@ def test_transform_byo_estimator(sagemaker_session):
         assert tags == model_tags
 
 
+def test_single_transformer_multiple_jobs(sagemaker_session, mxnet_full_version):
+    data_path = os.path.join(DATA_DIR, "mxnet_mnist")
+    script_path = os.path.join(data_path, "mnist.py")
+
+    mx = MXNet(
+        entry_point=script_path,
+        role="SageMakerRole",
+        train_instance_count=1,
+        train_instance_type="ml.c4.xlarge",
+        sagemaker_session=sagemaker_session,
+        framework_version=mxnet_full_version,
+    )
+
+    train_input = mx.sagemaker_session.upload_data(
+        path=os.path.join(data_path, "train"), key_prefix="integ-test-data/mxnet_mnist/train"
+    )
+    test_input = mx.sagemaker_session.upload_data(
+        path=os.path.join(data_path, "test"), key_prefix="integ-test-data/mxnet_mnist/test"
+    )
+    job_name = unique_name_from_base("test-mxnet-transform")
+
+    with timeout(minutes=TRAINING_DEFAULT_TIMEOUT_MINUTES):
+        mx.fit({"train": train_input, "test": test_input}, job_name=job_name)
+
+    transform_input_path = os.path.join(data_path, "transform", "data.csv")
+    transform_input_key_prefix = "integ-test-data/mxnet_mnist/transform"
+    transform_input = mx.sagemaker_session.upload_data(
+        path=transform_input_path, key_prefix=transform_input_key_prefix
+    )
+
+    transformer = mx.transformer(1, "ml.m4.xlarge")
+
+    job_name = unique_name_from_base("test-mxnet-transform")
+    transformer.transform(transform_input, content_type="text/csv", job_name=job_name)
+    with timeout_and_delete_model_with_transformer(
+        transformer, sagemaker_session, minutes=TRANSFORM_DEFAULT_TIMEOUT_MINUTES
+    ):
+        assert transformer.output_path == "s3://{}/{}".format(
+            sagemaker_session.default_bucket(), job_name
+        )
+        job_name = unique_name_from_base("test-mxnet-transform")
+        transformer.transform(transform_input, content_type="text/csv", job_name=job_name)
+        assert transformer.output_path == "s3://{}/{}".format(
+            sagemaker_session.default_bucket(), job_name
+        )
+
+
 def _create_transformer_and_transform_job(
     estimator,
     transform_input,
diff --git a/tests/unit/test_transformer.py b/tests/unit/test_transformer.py
index 88c4495e37..325f6536f1 100644
--- a/tests/unit/test_transformer.py
+++ b/tests/unit/test_transformer.py
@@ -437,3 +437,15 @@ def test_transform_job_wait(sagemaker_session):
     job.wait()
 
     assert sagemaker_session.wait_for_transform_job.called_once
+
+
+@patch("sagemaker.transformer._TransformJob.start_new")
+def test_restart_output_path(start_new_job, transformer, sagemaker_session):
+    transformer.output_path = None
+    sagemaker_session.default_bucket.return_value = S3_BUCKET
+
+    transformer.transform(DATA, job_name="job-1")
+    assert transformer.output_path == "s3://{}/{}".format(S3_BUCKET, "job-1")
+
+    transformer.transform(DATA, job_name="job-2")
+    assert transformer.output_path == "s3://{}/{}".format(S3_BUCKET, "job-2")